0 Download85 Pages / 21,008 Words
Decide on the data to be used for analysis. Criteria include relevance to the data mining goals, quality and technical constraints such as limits on data volume or data types.
Raise the data quality to the level required by the selected analysis techniques. This may involve selection of clean subsets of the data, the insertion of suitable defaults or more ambitious techniques such as the estimation of missing data by modeling.
Describe the decisions and actions that were taken to address the data quality problems reported during the Verify Data Quality Task. The report should also address what data quality issues are still outstanding.
During the analysis, the set of data that are to be used has been collected from students of the university on the form of survey. In the survey the main roles played is by uncovering the modeling techniques and various analytics Data Mining. For the completion of this report, all the methods will be utilized as well as for the conventional questions to be answered, which are required to complete the analysis of this report. All these data sets are found in the survey process collection.
Defining the complex data while keeping in mind the goal of the task and hence gathering the data of the certain areas and data rows. The total collected data rows were almost 2000 that has been collected from different participants in the surveys. The data rows that have been removed had the following reasons:
Cleaning the data sets has been done on considering the above point and finally 1918 rows of data could be considered appropriate for the final analysis of the report.
Within the data sets all the data forms have been changed, if it was done within the texts the value could have hampered the process of creating the model building procession. The collected data has been used keeping in mind the clearance that has been done because of the unwanted data, which cannot be utilized in the analysis any further.
No new construction has been done in the column of data since all the data set has been gathered from the survey are thoroughly checked. Hence, new columns were not added in the data sets any further.
Excel sheet has been used to compile the above chart. Acceptance of the loan against the mode of study mapping has been done for the display in the chart. Acceptance of loan values, 0 as NO and 1 as YES. The mode of study determination can be further described as: 0 is F/T; 1 as P/T and 2 as external. As per the records of the chart given the highest values has been displayed of the student who are not willing to accept the loans and on a full time basis are willing to complete the course.
Excel sheet has been used to compile the above chart. From the chart we can observe that the students agreeing for the acceptance of loans depends on the mode of payment, since reliable the method easier to pay. Acceptance of loan values, 0 as NO and 1 as YES. The mode of payment 0 is HECS, 1 as by own medium and 2 for other. As per the record, the highest numbers of the students are of those who are willing to accept the loan technique and pay by HECS.
Excel sheet has been used to compile the above chart. From the chart, we can observe the loan acceptance of the students with respect to the current GPA of the student. Acceptance of loan values, 0 as NO and 1 as YES. Range of GPA ranges from 1 to 4, with each count of slabs. As per the records in the charts the highest number has been displayed, the records are of the students who are not willing to take loans and have GPA valuing 2.
There are two parts in which the splitting has been done in the data set analysis based on the characteristics of 66% of the whole set of data. In model building process data sets are used and rest of the data are used for the test procedure execution processes. Weka has been used for the divisions and thus manual divisions were not required. After this analysis the reports starts proceeding towards the building section of the models.
The analysis used three major algorithms:
For further analysis has the parameter in the column of “would accept loan”. It has been helpful to understand the perspective of the students about their willingness to take the loan or not from the university bank.
The rule-based analysis is the decision tree:
|
=== Run information ===
Scheme: weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 Relation: data_clean Instances: 1918 Attributes: 16 Gender Hours worked Age Months in current job credit rating Number of loans applied for Number of Current loans Country of Birth Area of residence Current GPA Major Minor Mode of study Mode of payment Number of Dependents Would accept loan Test mode: split 66.0% train, remainder test
=== Classifier model (full training set) ===
RandomTree ==========
Hours worked < 95.5 | credit rating < 19 | | Mode of study < 0.5 | | | Hours worked < 41.5 | | | | Major < 0.5 | | | | | Country of Birth < 0.5 | | | | | | Age < 65.5 | | | | | | | Hours worked < 39.5 | | | | | | | | Number of loans applied for < 0.5 | | | | | | | | | Area of residence < 0.5 | | | | | | | | | | Hours worked < 16.5 | | | | | | | | | | | Gender < 0.5 : 1 (1/0) | | | | | | | | | | | Gender >= 0.5 : 0 (1/0) | | | | | | | | | | Hours worked >= 16.5 : 0 (37/0) | | | | | | | | | Area of residence >= 0.5 : 0 (2/0) | | | | | | | | Number of loans applied for >= 0.5 | | | | | | | | | credit rating < 17 : 0 (4/0) | | | | | | | | | credit rating >= 17 | | | | | | | | | | Age < 21 : 0 (2/0) | | | | | | | | | | Age >= 21 : 1 (1/0) | | | | | | | Hours worked >= 39.5 | | | | | | | | Age < 22.5 | | | | | | | | | Months in current job < 6 : 1 (2/0) | | | | | | | | | Months in current job >= 6 : 0 (2/0) | | | | | | | | Age >= 22.5 : 0 (3/0) | | | | | | Age >= 65.5 | | | | | | | Hours worked < 35 : 1 (1/0) | | | | | | | Hours worked >= 35 : 0 (1/0) | | | | | Country of Birth >= 0.5 : 0 (4/0) | | | | Major >= 0.5 | | | | | Months in current job < 6 : 1 (1/0) | | | | | Months in current job >= 6 : 0 (2/0) | | | Hours worked >= 41.5 | | | | Hours worked < 63.5 : 0 (59/0) | | | | Hours worked >= 63.5 | | | | | Current GPA < 1.5 : 1 (1/0) | | | | | Current GPA >= 1.5 | | | | | | Hours worked < 68.5 | | | | | | | Months in current job < 2.5 | | | | | | | | Gender < 0.5 : 1 (2/0) | | | | | | | | Gender >= 0.5 : 0 (1/0) | | | | | | | Months in current job >= 2.5 | | | | | | | | Months in current job < 11.5 : 0 (6/0) | | | | | | | | Months in current job >= 11.5 | | | | | | | | | credit rating < 6 : 1 (1/0) | | | | | | | | | credit rating >= 6 : 0 (2/0) | | | | | | Hours worked >= 68.5 | | | | | | | Age < 48 | | | | | | | | Months in current job < 2.5 | | | | | | | | | Current GPA < 2.5 | | | | | | | | | | Gender < 0.5 : 0 (1/0) | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | Hours worked < 89 : 0 (1/0) | | | | | | | | | | | Hours worked >= 89 | | | | | | | | | | | | Age < 29.5 : 0 (1/0) | | | | | | | | | | | | Age >= 29.5 : 1 (1/0) | | | | | | | | | Current GPA >= 2.5 | | | | | | | | | | Hours worked < 76.5 : 0 (1/0) | | | | | | | | | | Hours worked >= 76.5 | | | | | | | | | | | Months in current job < 1.5 : 0 (1/0) | | | | | | | | | | | Months in current job >= 1.5 : 1 (1/0) | | | | | | | | Months in current job >= 2.5 | | | | | | | | | Age < 39 : 0 (47/0) | | | | | | | | | Age >= 39 | | | | | | | | | | Hours worked < 70 : 0 (1/0) | | | | | | | | | | Hours worked >= 70 | | | | | | | | | | | Months in current job < 8 : 0 (1/0) | | | | | | | | | | | Months in current job >= 8 : 1 (1/0) | | | | | | | Age >= 48 : 0 (21/0) | | Mode of study >= 0.5 | | | Current GPA < 1.5 : 1 (1/0) | | | Current GPA >= 1.5 : 0 (2/0) | credit rating >= 19 | | Age < 20.5 | | | Country of Birth < 0.5 : 0 (6/0) | | | Country of Birth >= 0.5 | | | | Number of loans applied for < 0.5 | | | | | Hours worked < 83.5 : 0 (3/0) | | | | | Hours worked >= 83.5 : 1 (1/0) | | | | Number of loans applied for >= 0.5 : 0 (3/0) | | Age >= 20.5 : 0 (101/0) Hours worked >= 95.5 | Number of Dependents < 0.5 | | Age < 37.5 | | | Age < 22.5 | | | | Months in current job < 2.5 | | | | | credit rating < 19 | | | | | | Current GPA < 1.5 | | | | | | | Age < 21.5 | | | | | | | | Hours worked < 233.5 : 1 (2/0) | | | | | | | | Hours worked >= 233.5 : 0 (1/0) | | | | | | | Age >= 21.5 : 0 (7/0) | | | | | | Current GPA >= 1.5 | | | | | | | Minor < 0.5 | | | | | | | | Hours worked < 134 : 0 (1/0) | | | | | | | | Hours worked >= 134 | | | | | | | | | Age < 20.5 | | | | | | | | | | Gender < 0.5 : 0 (1/0) | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | Age < 11 : 0 (1/0) | | | | | | | | | | | Age >= 11 : 1 (1/0) | | | | | | | | | Age >= 20.5 : 1 (11/0) | | | | | | | Minor >= 0.5 : 0 (1/0) | | | | | credit rating >= 19 | | | | | | Hours worked < 102.5 : 1 (1/0) | | | | | | Hours worked >= 102.5 | | | | | | | Age < 21 : 0 (22/0) | | | | | | | Age >= 21 | | | | | | | | Country of Birth < 0.5 | | | | | | | | | Major < 0.5 | | | | | | | | | | Current GPA < 1.5 : 0 (3/0) | | | | | | | | | | Current GPA >= 1.5 | | | | | | | | | | | Minor < 0.5 | | | | | | | | | | | | credit rating < 25 : 0 (2/0) | | | | | | | | | | | | credit rating >= 25 : 1 (1/0) | | | | | | | | | | | Minor >= 0.5 : 0 (1/0) | | | | | | | | | Major >= 0.5 : 1 (1/0) | | | | | | | | Country of Birth >= 0.5 : 0 (5/0) | | | | Months in current job >= 2.5 | | | | | Number of loans applied for < 1.5 | | | | | | Minor < 1.5 | | | | | | | Age < 11.5 | | | | | | | | Months in current job < 7.5 : 0 (1/0) | | | | | | | | Months in current job >= 7.5 : 1 (1/0) | | | | | | | Age >= 11.5 | | | | | | | | Major < 0.5 | | | | | | | | | Country of Birth < 0.5 | | | | | | | | | | Months in current job < 11.5 : 0 (43/0) | | | | | | | | | | Months in current job >= 11.5 | | | | | | | | | | | Number of loans applied for < 0.5 | | | | | | | | | | | | Current GPA < 1.5 : 0 (8/0) | | | | | | | | | | | | Current GPA >= 1.5 | | | | | | | | | | | | | credit rating < 13 | | | | | | | | | | | | | | credit rating < 9 | | | | | | | | | | | | | | | Hours worked < 152.5 | | | | | | | | | | | | | | | | Age < 20.5 | | | | | | | | | | | | | | | | | Hours worked < 143.5 | | | | | | | | | | | | | | | | | | Gender < 0.5 : 1 (1/0) | | | | | | | | | | | | | | | | | | Gender >= 0.5 : 0 (3/0) | | | | | | | | | | | | | | | | | Hours worked >= 143.5 : 1 (1/0) | | | | | | | | | | | | | | | | Age >= 20.5 : 0 (1/0) | | | | | | | | | | | | | | | Hours worked >= 152.5 | | | | | | | | | | | | | | | | Age < 20.5 | | | | | | | | | | | | | | | | | Gender < 0.5 | | | | | | | | | | | | | | | | | | Hours worked < 219.5 : 0 (1/0) | | | | | | | | | | | | | | | | | | Hours worked >= 219.5 | | | | | | | | | | | | | | | | | | | Hours worked < 274 : 1 (1/0) | | | | | | | | | | | | | | | | | | | Hours worked >= 274 : 0 (1/0) | | | | | | | | | | | | | | | | | Gender >= 0.5 : 0 (6/0) | | | | | | | | | | | | | | | | Age >= 20.5 : 0 (6/0) | | | | | | | | | | | | | | credit rating >= 9 | | | | | | | | | | | | | | | Hours worked < 105.5 | | | | | | | | | | | | | | | | Hours worked < 103.5 : 0 (1/0) | | | | | | | | | | | | | | | | Hours worked >= 103.5 : 1 (1/0) | | | | | | | | | | | | | | | Hours worked >= 105.5 | | | | | | | | | | | | | | | | credit rating < 11 | | | | | | | | | | | | | | | | | Age < 21.5 : 0 (22/0) | | | | | | | | | | | | | | | | | Age >= 21.5 | | | | | | | | | | | | | | | | | | Current GPA < 3 | | | | | | | | | | | | | | | | | | | Gender < 0.5 | | | | | | | | | | | | | | | | | | | | Hours worked < 213 : 0 (4/0) | | | | | | | | | | | | | | | | | | | | Hours worked >= 213 : 1 (2/0) | | | | | | | | | | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | | | | | | | | | | Hours worked < 187 : 0 (11/0) | | | | | | | | | | | | | | | | | | | | Hours worked >= 187 | | | | | | | | | | | | | | | | | | | | | Hours worked < 194.5 : 1 (1/0) | | | | | | | | | | | | | | | | | | | | | Hours worked >= 194.5 | | | | | | | | | | | | | | | | | | | | | | Hours worked < 225.5 | | | | | | | | | | | | | | | | | | | | | | | Hours worked < 208.5 : 0 (2/0) | | | | | | | | | | | | | | | | | | | | | | | Hours worked >= 208.5 : 1 (1/0) | | | | | | | | | | | | | | | | | | | | | | Hours worked >= 225.5 : 0 (5/0) | | | | | | | | | | | | | | | | | | Current GPA >= 3 : 0 (1/0) | | | | | | | | | | | | | | | | credit rating >= 11 | | | | | | | | | | | | | | | | | Hours worked < 244.5 | | | | | | | | | | | | | | | | | | Hours worked < 188 : 0 (20/0) | | | | | | | | | | | | | | | | | | Hours worked >= 188 | | | | | | | | | | | | | | | | | | | Gender < 0.5 : 0 (4/0) | | | | | | | | | | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | | | | | | | | | | Hours worked < 192.5 : 1 (1/0) | | | | | | | | | | | | | | | | | | | | Hours worked >= 192.5 : 0 (11/0) | | | | | | | | | | | | | | | | | Hours worked >= 244.5 | | | | | | | | | | | | | | | | | | Gender < 0.5 : 0 (2/0) | | | | | | | | | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | | | | | | | | | Current GPA < 3 | | | | | | | | | | | | | | | | | | | | Hours worked < 247 : 1 (1/0) | | | | | | | | | | | | | | | | | | | | Hours worked >= 247 | | | | | | | | | | | | | | | | | | | | | Hours worked < 272.5 | | | | | | | | | | | | | | | | | | | | | | Hours worked < 266.5 : 0 (2/0) | | | | | | | | | | | | | | | | | | | | | | Hours worked >= 266.5 : 1 (1/0) | | | | | | | | | | | | | | | | | | | | | Hours worked >= 272.5 : 0 (3/0) | | | | | | | | | | | | | | | | | | | Current GPA >= 3 : 0 (1/0) | | | | | | | | | | | | | credit rating >= 13 : 0 (31/0) | | | | | | | | | | | Number of loans applied for >= 0.5 : 0 (41/0) | | | | | | | | | Country of Birth >= 0.5 : 0 (92/0) | | | | | | | | Major >= 0.5 | | | | | | | | | Months in current job < 10.5 | | | | | | | | | | credit rating < 47 : 0 (22/0) | | | | | | | | | | credit rating >= 47 | | | | | | | | | | | Number of loans applied for < 0.5 : 1 (1/0) | | | | | | | | | | | Number of loans applied for >= 0.5 | | | | | | | | | | | | Gender < 0.5 : 1 (1/0) | | | | | | | | | | | | Gender >= 0.5 : 0 (7/0) | | | | | | | | | Months in current job >= 10.5 | | | | | | | | | | Age < 20.5 | | | | | | | | | | | Hours worked < 119.5 : 1 (1/0) | | | | | | | | | | | Hours worked >= 119.5 | | | | | | | | | | | | credit rating < 23 : 0 (1/0) | | | | | | | | | | | | credit rating >= 23 | | | | | | | | | | | | | Number of loans applied for < 0.5 : 1 (1/0) | | | | | | | | | | | | | Number of loans applied for >= 0.5 : 0 (1/0) | | | | | | | | | | Age >= 20.5 | | | | | | | | | | | Hours worked < 103.5 : 1 (1/0) | | | | | | | | | | | Hours worked >= 103.5 | | | | | | | | | | | | Current GPA < 3.5 | | | | | | | | | | | | | Country of Birth < 0.5 | | | | | | | | | | | | | | Hours worked < 235 : 0 (5/0) | | | | | | | | | | | | | | Hours worked >= 235 : 1 (1/0) | | | | | | | | | | | | | Country of Birth >= 0.5 : 0 (9/0) | | | | | | | | | | | | Current GPA >= 3.5 | | | | | | | | | | | | | Months in current job < 11.5 : 0 (1/0) | | | | | | | | | | | | | Months in current job >= 11.5 : 1 (1/0) | | | | | | Minor >= 1.5 | | | | | | | Area of residence < 0.5 | | | | | | | | Country of Birth < 1.5 | | | | | | | | | Number of Current loans < 0.5 : 1 (5/0) | | | | | | | | | Number of Current loans >= 0.5 | | | | | | | | | | Number of loans applied for < 0.5 : 0 (1/0) | | | | | | | | | | Number of loans applied for >= 0.5 | | | | | | | | | | | Months in current job < 7.5 : 0 (1/0) | | | | | | | | | | | Months in current job >= 7.5 | | | | | | | | | | | | Age < 21 : 0 (1/0) | | | | | | | | | | | | Age >= 21 : 1 (1/0) | | | | | | | | Country of Birth >= 1.5 | | | | | | | | | Hours worked < 238 : 0 (2/0) | | | | | | | | | Hours worked >= 238 | | | | | | | | | | credit rating < 36 : 0 (1/0) | | | | | | | | | | credit rating >= 36 : 1 (1/0) | | | | | | | Area of residence >= 0.5 | | | | | | | | Major < 0.5 : 0 (7/0) | | | | | | | | Major >= 0.5 | | | | | | | | | Area of residence < 3 | | | | | | | | | | Hours worked < 274.5 : 1 (3/0) | | | | | | | | | | Hours worked >= 274.5 | | | | | | | | | | | Hours worked < 332 : 0 (2/0) | | | | | | | | | | | Hours worked >= 332 : 1 (1/0) | | | | | | | | | Area of residence >= 3 : 0 (1/0) | | | | | Number of loans applied for >= 1.5 | | | | | | Minor < 0.5 : 0 (35/0) | | | | | | Minor >= 0.5 | | | | | | | credit rating < 35 | | | | | | | | Country of Birth < 0.5 | | | | | | | | | Hours worked < 137.5 : 1 (1/0) | | | | | | | | | Hours worked >= 137.5 : 0 (4/0) | | | | | | | | Country of Birth >= 0.5 | | | | | | | | | credit rating < 33 : 1 (2/0) | | | | | | | | | credit rating >= 33 | | | | | | | | | | Hours worked < 236.5 : 1 (1/0) | | | | | | | | | | Hours worked >= 236.5 : 0 (1/0) | | | | | | | credit rating >= 35 | | | | | | | | credit rating < 39 : 0 (6/0) | | | | | | | | credit rating >= 39 | | | | | | | | | Mode of study < 1.5 | | | | | | | | | | credit rating < 41 | | | | | | | | | | | Gender < 0.5 : 1 (2/0) | | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | | Hours worked < 328.5 : 0 (3/0) | | | | | | | | | | | | Hours worked >= 328.5 | | | | | | | | | | | | | Area of residence < 0.5 : 0 (1/0) | | | | | | | | | | | | | Area of residence >= 0.5 : 1 (1/0) | | | | | | | | | | credit rating >= 41 | | | | | | | | | | | Area of residence < 1.5 | | | | | | | | | | | | Hours worked < 436 | | | | | | | | | | | | | Hours worked < 369 | | | | | | | | | | | | | | Major < 1.5 | | | | | | | | | | | | | | | Months in current job < 7.5 : 0 (5/0) | | | | | | | | | | | | | | | Months in current job >= 7.5 | | | | | | | | | | | | | | | | Area of residence < 0.5 | | | | | | | | | | | | | | | | | Hours worked < 327 | | | | | | | | | | | | | | | | | | Hours worked < 229 | | | | | | | | | | | | | | | | | | | Hours worked < 216 : 1 (1/0) | | | | | | | | | | | | | | | | | | | Hours worked >= 216 : 0 (1/0) | | | | | | | | | | | | | | | | | | Hours worked >= 229 : 1 (3/0) | | | | | | | | | | | | | | | | | Hours worked >= 327 : 0 (2/0) | | | | | | | | | | | | | | | | Area of residence >= 0.5 | | | | | | | | | | | | | | | | | Number of loans applied for < 2.5 | | | | | | | | | | | | | | | | | | Country of Birth < 1.5 : 1 (1/0) | | | | | | | | | | | | | | | | | | Country of Birth >= 1.5 : 0 (3/0) | | | | | | | | | | | | | | | | | Number of loans applied for >= 2.5 : 0 (3/0) | | | | | | | | | | | | | | Major >= 1.5 | | | | | | | | | | | | | | | Months in current job < 10 : 0 (1/0) | | | | | | | | | | | | | | | Months in current job >= 10 : 1 (2/0) | | | | | | | | | | | | | Hours worked >= 369 : 0 (9/0) | | | | | | | | | | | | Hours worked >= 436 : 1 (1/0) | | | | | | | | | | | Area of residence >= 1.5 : 0 (13/0) | | | | | | | | | Mode of study >= 1.5 : 1 (1/0) | | | Age >= 22.5 | | | | Country of Birth < 0.5 | | | | | Number of loans applied for < 0.5 | | | | | | Area of residence < 0.5 | | | | | | | Age < 24.5 | | | | | | | | Gender < 0.5 | | | | | | | | | Hours worked < 108 : 1 (1/0) | | | | | | | | | Hours worked >= 108 | | | | | | | | | | Months in current job < 6 | | | | | | | | | | | Hours worked < 148.5 : 0 (4/0) | | | | | | | | | | | Hours worked >= 148.5 : 1 (6/0) | | | | | | | | | | Months in current job >= 6 | | | | | | | | | | | Months in current job < 11.5 : 0 (7/0) | | | | | | | | | | | Months in current job >= 11.5 | | | | | | | | | | | | Hours worked < 202.5 : 1 (1/0) | | | | | | | | | | | | Hours worked >= 202.5 : 0 (2/0) | | | | | | | | Gender >= 0.5 | | | | | | | | | Current GPA < 1.5 | | | | | | | | | | Age < 23.5 | | | | | | | | | | | Hours worked < 285.5 | | | | | | | | | | | | credit rating < 21 : 0 (4/0) | | | | | | | | | | | | credit rating >= 21 : 1 (1/0) | | | | | | | | | | | Hours worked >= 285.5 : 1 (1/0) | | | | | | | | | | Age >= 23.5 : 0 (7/0) | | | | | | | | | Current GPA >= 1.5 | | | | | | | | | | Age < 23.5 | | | | | | | | | | | Minor < 0.5 | | | | | | | | | | | | Months in current job < 11.5 : 0 (5/0) | | | | | | | | | | | | Months in current job >= 11.5 | | | | | | | | | | | | | Hours worked < 278.5 : 1 (1/0) | | | | | | | | | | | | | Hours worked >= 278.5 : 0 (1/0) | | | | | | | | | | | Minor >= 0.5 | | | | | | | | | | | | Hours worked < 254.5 | | | | | | | | | | | | | Months in current job < 11.5 : 0 (2/0) | | | | | | | | | | | | | Months in current job >= 11.5 : 1 (1/0) | | | | | | | | | | | | Hours worked >= 254.5 : 0 (3/0) | | | | | | | | | | Age >= 23.5 | | | | | | | | | | | Hours worked < 170 | | | | | | | | | | | | Months in current job < 11.5 : 0 (5/0) | | | | | | | | | | | | Months in current job >= 11.5 | | | | | | | | | | | | | Number of Current loans < 1.5 : 1 (1/0) | | | | | | | | | | | | | Number of Current loans >= 1.5 : 0 (1/0) | | | | | | | | | | | Hours worked >= 170 : 0 (12/0) | | | | | | | Age >= 24.5 | | | | | | | | Age < 36.5 | | | | | | | | | Minor < 0.5 | | | | | | | | | | credit rating < 9 | | | | | | | | | | | Hours worked < 245.5 : 0 (1/0) | | | | | | | | | | | Hours worked >= 245.5 : 1 (1/0) | | | | | | | | | | credit rating >= 9 : 0 (18/0) | | | | | | | | | Minor >= 0.5 : 0 (11/0) | | | | | | | | Age >= 36.5 | | | | | | | | | Months in current job < 6 : 1 (1/0) | | | | | | | | | Months in current job >= 6 : 0 (8/0) | | | | | | Area of residence >= 0.5 : 0 (47/0) | | | | | Number of loans applied for >= 0.5 | | | | | | Gender < 0.5 | | | | | | | Months in current job < 3.5 | | | | | | | | Major < 0.5 | | | | | | | | | Age < 23.5 | | | | | | | | | | Hours worked < 184 : 0 (1/0) | | | | | | | | | | Hours worked >= 184 : 1 (1/0) | | | | | | | | | Age >= 23.5 : 0 (7/0) | | | | | | | | Major >= 0.5 | | | | | | | | | credit rating < 35 : 1 (1/0) | | | | | | | | | credit rating >= 35 | | | | | | | | | | Age < 33 : 1 (1/0) | | | | | | | | | | Age >= 33 : 0 (1/0) | | | | | | | Months in current job >= 3.5 | | | | | | | | Age < 33 | | | | | | | | | Months in current job < 11.5 : 0 (8/0) | | | | | | | | | Months in current job >= 11.5 | | | | | | | | | | Hours worked < 228 : 0 (10/0) | | | | | | | | | | Hours worked >= 228 | | | | | | | | | | | Age < 23.5 : 0 (1/0) | | | | | | | | | | | Age >= 23.5 | | | | | | | | | | | | credit rating < 17 : 1 (1/0) | | | | | | | | | | | | credit rating >= 17 : 0 (3/0) | | | | | | | | Age >= 33 | | | | | | | | | Number of loans applied for < 2 | | | | | | | | | | Age < 35 | | | | | | | | | | | credit rating < 37 : 1 (1/0) | | | | | | | | | | | credit rating >= 37 : 0 (1/0) | | | | | | | | | | Age >= 35 : 0 (3/0) | | | | | | | | | Number of loans applied for >= 2 : 0 (1/0) | | | | | | Gender >= 0.5 | | | | | | | Number of Current loans < 0.5 | | | | | | | | Age < 24.5 | | | | | | | | | Age < 23.5 : 0 (14/0) | | | | | | | | | Age >= 23.5 | | | | | | | | | | Current GPA < 1.5 : 0 (5/0) | | | | | | | | | | Current GPA >= 1.5 | | | | | | | | | | | Hours worked < 118 | | | | | | | | | | | | Hours worked < 104 : 0 (1/0) | | | | | | | | | | | | Hours worked >= 104 : 1 (1/0) | | | | | | | | | | | Hours worked >= 118 : 0 (21/0) | | | | | | | | Age >= 24.5 : 0 (21/0) | | | | | | | Number of Current loans >= 0.5 : 0 (24/0) | | | | Country of Birth >= 0.5 | | | | | Major < 2.5 | | | | | | Area of residence < 0.5 | | | | | | | Gender < 0.5 | | | | | | | | Hours worked < 223.5 | | | | | | | | | Hours worked < 221.5 : 0 (20/0) | | | | | | | | | Hours worked >= 221.5 : 1 (1/0) | | | | | | | | Hours worked >= 223.5 : 0 (26/0) | | | | | | | Gender >= 0.5 : 0 (129/0) | | | | | | Area of residence >= 0.5 | | | | | | | Number of Current loans < 0.5 | | | | | | | | Area of residence < 2.5 | | | | | | | | | Age < 33 : 0 (43/0) | | | | | | | | | Age >= 33 | | | | | | | | | | Hours worked < 355.5 : 0 (5/0) | | | | | | | | | | Hours worked >= 355.5 : 1 (1/0) | | | | | | | | Area of residence >= 2.5 | | | | | | | | | Current GPA < 2.5 : 0 (3/0) | | | | | | | | | Current GPA >= 2.5 : 1 (1/0) | | | | | | | Number of Current loans >= 0.5 | | | | | | | | credit rating < 28 : 1 (1/0) | | | | | | | | credit rating >= 28 | | | | | | | | | credit rating < 65 | | | | | | | | | | Mode of payment < 0.5 | | | | | | | | | | | Country of Birth < 1.5 : 0 (12/0) | | | | | | | | | | | Country of Birth >= 1.5 | | | | | | | | | | | | Current GPA < 2.5 | | | | | | | | | | | | | Months in current job < 8.5 | | | | | | | | | | | | | | Number of Current loans < 1.5 : 0 (2/0) | | | | | | | | | | | | | | Number of Current loans >= 1.5 | | | | | | | | | | | | | | | credit rating < 48 : 0 (1/0) | | | | | | | | | | | | | | | credit rating >= 48 : 1 (1/0) | | | | | | | | | | | | | Months in current job >= 8.5 | | | | | | | | | | | | | | Number of Current loans < 1.5 | | | | | | | | | | | | | | | Months in current job < 9.5 : 0 (4/0) | | | | | | | | | | | | | | | Months in current job >= 9.5 | | | | | | | | | | | | | | | | Area of residence < 1.5 : 1 (2/0) | | | | | | | | | | | | | | | | Area of residence >= 1.5 : 0 (6/0) | | | | | | | | | | | | | | Number of Current loans >= 1.5 : 0 (7/0) | | | | | | | | | | | | Current GPA >= 2.5 : 0 (4/0) | | | | | | | | | | Mode of payment >= 0.5 | | | | | | | | | | | Minor < 0.5 : 0 (1/0) | | | | | | | | | | | Minor >= 0.5 : 1 (1/0) | | | | | | | | | credit rating >= 65 : 0 (15/0) | | | | | Major >= 2.5 | | | | | | Months in current job < 9.5 : 0 (1/0) | | | | | | Months in current job >= 9.5 : 1 (3/0) | | Age >= 37.5 | | | Age < 61 | | | | Months in current job < 2.5 | | | | | Gender < 0.5 | | | | | | Months in current job < 1.5 : 1 (1/0) | | | | | | Months in current job >= 1.5 | | | | | | | Age < 57.5 | | | | | | | | Hours worked < 178 : 1 (3/0) | | | | | | | | Hours worked >= 178 | | | | | | | | | Hours worked < 236 : 0 (1/0) | | | | | | | | | Hours worked >= 236 : 1 (1/0) | | | | | | | Age >= 57.5 : 1 (4/0) | | | | | Gender >= 0.5 | | | | | | credit rating < 9 | | | | | | | Current GPA < 1.5 : 0 (4/0) | | | | | | | Current GPA >= 1.5 | | | | | | | | Months in current job < 1.5 : 1 (1/0) | | | | | | | | Months in current job >= 1.5 | | | | | | | | | credit rating < 7 : 0 (5/0) | | | | | | | | | credit rating >= 7 | | | | | | | | | | Hours worked < 179.5 : 1 (2/0) | | | | | | | | | | Hours worked >= 179.5 | | | | | | | | | | | Hours worked < 286 : 0 (4/0) | | | | | | | | | | | Hours worked >= 286 : 1 (1/0) | | | | | | credit rating >= 9 : 1 (4/0) | | | | Months in current job >= 2.5 | | | | | Months in current job < 10.5 | | | | | | Hours worked < 281 | | | | | | | credit rating < 19 | | | | | | | | Number of loans applied for < 0.5 | | | | | | | | | Hours worked < 132.5 | | | | | | | | | | Age < 59.5 : 0 (7/0) | | | | | | | | | | Age >= 59.5 : 1 (1/0) | | | | | | | | | Hours worked >= 132.5 : 0 (11/0) | | | | | | | | Number of loans applied for >= 0.5 : 0 (4/0) | | | | | | | credit rating >= 19 | | | | | | | | Months in current job < 5.5 : 0 (9/0) | | | | | | | | Months in current job >= 5.5 | | | | | | | | | Current GPA < 1.5 | | | | | | | | | | Area of residence < 0.5 | | | | | | | | | | | Gender < 0.5 : 1 (1/0) | | | | | | | | | | | Gender >= 0.5 : 0 (2/0) | | | | | | | | | | Area of residence >= 0.5 | | | | | | | | | | | credit rating < 31 | | | | | | | | | | | | Months in current job < 8 | | | | | | | | | | | | | Number of loans applied for < 1.5 : 0 (1/0) | | | | | | | | | | | | | Number of loans applied for >= 1.5 : 1 (1/0) | | | | | | | | | | | | Months in current job >= 8 : 1 (1/0) | | | | | | | | | | | credit rating >= 31 : 1 (3/0) | | | | | | | | | Current GPA >= 1.5 | | | | | | | | | | Major < 0.5 | | | | | | | | | | | Number of loans applied for < 0.5 | | | | | | | | | | | | Age < 39 : 0 (1/0) | | | | | | | | | | | | Age >= 39 : 1 (2/0) | | | | | | | | | | | Number of loans applied for >= 0.5 | | | | | | | | | | | | Area of residence < 0.5 | | | | | | | | | | | | | credit rating < 39 : 0 (2/0) | | | | | | | | | | | | | credit rating >= 39 : 1 (1/0) | | | | | | | | | | | | Area of residence >= 0.5 : 0 (8/0) | | | | | | | | | | Major >= 0.5 | | | | | | | | | | | credit rating < 37 : 1 (4/0) | | | | | | | | | | | credit rating >= 37 | | | | | | | | | | | | Hours worked < 152 : 0 (1/0) | | | | | | | | | | | | Hours worked >= 152 : 1 (2/0) | | | | | | Hours worked >= 281 | | | | | | | Number of loans applied for < 2.5 | | | | | | | | Age < 57.5 | | | | | | | | | Gender < 0.5 | | | | | | | | | | Hours worked < 340.5 : 0 (5/0) | | | | | | | | | | Hours worked >= 340.5 : 1 (1/0) | | | | | | | | | Gender >= 0.5 : 0 (18/0) | | | | | | | | Age >= 57.5 | | | | | | | | | Area of residence < 0.5 : 0 (2/0) | | | | | | | | | Area of residence >= 0.5 | | | | | | | | | | credit rating < 36 : 1 (1/0) | | | | | | | | | | credit rating >= 36 : 0 (1/0) | | | | | | | Number of loans applied for >= 2.5 | | | | | | | | Age < 56.5 | | | | | | | | | Area of residence < 1.5 | | | | | | | | | | Months in current job < 9 : 0 (1/0) | | | | | | | | | | Months in current job >= 9 : 1 (2/0) | | | | | | | | | Area of residence >= 1.5 : 0 (2/0) | | | | | | | | Age >= 56.5 : 0 (3/0) | | | | | Months in current job >= 10.5 | | | | | | Number of loans applied for < 3.5 | | | | | | | Current GPA < 1.5 | | | | | | | | Minor < 2.5 | | | | | | | | | Hours worked < 305 | | | | | | | | | | Age < 38.5 | | | | | | | | | | | Number of loans applied for < 0.5 | | | | | | | | | | | | Hours worked < 303 : 0 (3/0) | | | | | | | | | | | | Hours worked >= 303 : 1 (1/0) | | | | | | | | | | | Number of loans applied for >= 0.5 : 1 (1/0) | | | | | | | | | | Age >= 38.5 : 0 (3/0) | | | | | | | | | Hours worked >= 305 : 0 (12/0) | | | | | | | | Minor >= 2.5 | | | | | | | | | Gender < 0.5 | | | | | | | | | | Age < 58.5 : 1 (1/0) | | | | | | | | | | Age >= 58.5 : 0 (1/0) | | | | | | | | | Gender >= 0.5 : 0 (1/0) | | | | | | | Current GPA >= 1.5 | | | | | | | | Hours worked < 207 | | | | | | | | | Hours worked < 204.5 | | | | | | | | | | credit rating < 35 | | | | | | | | | | | Gender < 0.5 | | | | | | | | | | | | Hours worked < 145.5 | | | | | | | | | | | | | Hours worked < 137 : 0 (1/0) | | | | | | | | | | | | | Hours worked >= 137 : 1 (1/0) | | | | | | | | | | | | Hours worked >= 145.5 : 0 (8/0) | | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | | credit rating < 7 | | | | | | | | | | | | | Age < 56 | | | | | | | | | | | | | | Hours worked < 163.5 : 0 (5/0) | | | | | | | | | | | | | | Hours worked >= 163.5 | | | | | | | | | | | | | | | Hours worked < 177.5 : 1 (1/0) | | | | | | | | | | | | | | | Hours worked >= 177.5 | | | | | | | | | | | | | | | | Hours worked < 186.5 : 0 (2/0) | | | | | | | | | | | | | | | | Hours worked >= 186.5 | | | | | | | | | | | | | | | | | Hours worked < 191 : 0.5 (2/0.25) | | | | | | | | | | | | | | | | | Hours worked >= 191 : 0 (1/0) | | | | | | | | | | | | | Age >= 56 : 0 (9/0) | | | | | | | | | | | | credit rating >= 7 : 0 (31/0) | | | | | | | | | | credit rating >= 35 | | | | | | | | | | | Months in current job < 11.5 : 0 (1/0) | | | | | | | | | | | Months in current job >= 11.5 : 1 (1/0) | | | | | | | | | Hours worked >= 204.5 : 1 (1/0) | | | | | | | | Hours worked >= 207 | | | | | | | | | Country of Birth < 0.5 | | | | | | | | | | Months in current job < 11.5 : 0 (14/0) | | | | | | | | | | Months in current job >= 11.5 | | | | | | | | | | | credit rating < 5 | | | | | | | | | | | | Age < 59 : 0 (9/0) | | | | | | | | | | | | Age >= 59 : 1 (1/0) | | | | | | | | | | | credit rating >= 5 : 0 (13/0) | | | | | | | | | Country of Birth >= 0.5 : 0 (8/0) | | | | | | Number of loans applied for >= 3.5 | | | | | | | Area of residence < 1.5 : 0 (1/0) | | | | | | | Area of residence >= 1.5 : 1 (1/0) | | | Age >= 61 | | | | Major < 1.5 | | | | | Major < 0.5 | | | | | | Age < 69.5 | | | | | | | Hours worked < 255.5 | | | | | | | | Hours worked < 194 | | | | | | | | | credit rating < 19 | | | | | | | | | | Hours worked < 153 | | | | | | | | | | | Current GPA < 1.5 : 1 (1/0) | | | | | | | | | | | Current GPA >= 1.5 | | | | | | | | | | | | Number of Current loans < 0.5 | | | | | | | | | | | | | Hours worked < 103.5 : 0 (3/0) | | | | | | | | | | | | | Hours worked >= 103.5 | | | | | | | | | | | | | | Age < 64 : 0 (2/0) | | | | | | | | | | | | | | Age >= 64 | | | | | | | | | | | | | | | Months in current job < 7 | | | | | | | | | | | | | | | | Months in current job < 2.5 | | | | | | | | | | | | | | | | | Hours worked < 118.5 : 1 (1/0) | | | | | | | | | | | | | | | | | Hours worked >= 118.5 : 0 (3/0) | | | | | | | | | | | | | | | | Months in current job >= 2.5 : 0 (3/0) | | | | | | | | | | | | | | | Months in current job >= 7 : 1 (1/0) | | | | | | | | | | | | Number of Current loans >= 0.5 : 0 (1/0) | | | | | | | | | | Hours worked >= 153 | | | | | | | | | | | Gender < 0.5 | | | | | | | | | | | | Age < 62.5 : 1 (1/0) | | | | | | | | | | | | Age >= 62.5 | | | | | | | | | | | | | Hours worked < 169 : 0 (1/0) | | | | | | | | | | | | | Hours worked >= 169 : 1 (1/0) | | | | | | | | | | | Gender >= 0.5 | | | | | | | | | | | | Months in current job < 2.5 : 1 (2/0) | | | | | | | | | | | | Months in current job >= 2.5 | | | | | | | | | | | | | Hours worked < 190.5 : 0 (4/0) | | | | | | | | | | | | | Hours worked >= 190.5 : 1 (1/0) | | | | | | | | | credit rating >= 19 : 0 (3/0) | | | | | | | | Hours worked >= 194 | | | | | | | | | Months in current job < 11.5 : 0 (11/0) | | | | | | | | | Months in current job >= 11.5 | | | | | | | | | | Gender < 0.5 : 1 (1/0) | | | | | | | | | | Gender >= 0.5 : 0 (2/0) | | | | | | | Hours worked >= 255.5 | | | | | | | | Age < 66.5 | | | | | | | | | Age < 62.5 : 1 (1/0) | | | | | | | | | Age >= 62.5 | | | | | | | | | | Months in current job < 11.5 | | | | | | | | | | | Hours worked < 263 : 1 (1/0) | | | | | | | | | | | Hours worked >= 263 | | | | | | | | | | | | credit rating < 5 | | | | | | | | | | | | | credit rating < 3 : 0 (2/0) | | | | | | | | | | | | | credit rating >= 3 | | | | | | | | | | | | | | Hours worked < 280.5 : 0 (1/0) | | | | | | | | | | | | | | Hours worked >= 280.5 : 1 (2/0) | | | | | | | | | | | | credit rating >= 5 | | | | | | | | | | | | | Minor < 1.5 : 0 (8/0) | | | | | | | | | | | | | Minor >= 1.5 | | | | | | | | | | | | | | Country of Birth < 0.5 : 1 (1/0) | | | | | | | | | | | | | | Country of Birth >= 0.5 : 0 (1/0) | | | | | | | | | | Months in current job >= 11.5 : 1 (3/0) | | | | | | | | Age >= 66.5 : 1 (3/0) | | | | | | Age >= 69.5 : 0 (12/0) | | | | | Major >= 0.5 | | | | | | Hours worked < 320.5 | | | | | | | credit rating < 35 : 1 (3/0) | | | | | | | credit rating >= 35 | | | | | | | | Hours worked < 177.5 : 0 (1/0) | | | | | | | | Hours worked >= 177.5 : 1 (1/0) | | | | | | Hours worked >= 320.5 : 0 (3/0) | | | | Major >= 1.5 : 1 (3/0) | Number of Dependents >= 0.5 | | credit rating < 29 : 0 (7/0) | | credit rating >= 29 | | | Hours worked < 446.5 | | | | Minor < 1.5 | | | | | Country of Birth < 1.5 | | | | | | Hours worked < 206 | | | | | | | Minor < 0.5 | | | | | | | | Gender < 0.5 : 1 (1/0) | | | | | | | | Gender >= 0.5 | | | | | | | | | Number of Current loans < 1.5 : 0 (4/0) | | | | | | | | | Number of Current loans >= 1.5 | | | | | | | | | | Number of loans applied for < 2.5 : 1 (1/0) | | | | | | | | | | Number of loans applied for >= 2.5 : 0 (1/0) | | | | | | | Minor >= 0.5 | | | | | | | | Age < 23.5 : 0 (5/0) | | | | | | | | Age >= 23.5 | | | | | | | | | Gender < 0.5 : 0 (2/0) | | | | | | | | | Gender >= 0.5 | | | | | | | | | | Hours worked < 160 : 1 (1/0) | | | | | | | | | | Hours worked >= 160 : 0 (1/0) | | | | | | Hours worked >= 206 | | | | | | | Area of residence < 1.5 | | | | | | | | Age < 22.5 : 0 (2/0) | | | | | | | | Age >= 22.5 | | | | | | | | | Gender < 0.5 | | | | | | | | | | Months in current job < 9 : 0 (1/0) | | | | | | | | | | Months in current job >= 9 : 1 (1/0) | | | | | | | | | Gender >= 0.5 : 1 (6/0) | | | | | | | Area of residence >= 1.5 : 0 (6/0) | | | | | Country of Birth >= 1.5 | | | | | | Number of Current loans < 1.5 | | | | | | | Mode of payment < 1.5 | | | | | | | | Number of Dependents < 1.5 | | | | | | | | | Hours worked < 268 : 0 (11/0) | | | | | | | | | Hours worked >= 268 | | | | | | | | | | Number of loans applied for < 0.5 : 0 (4/0) | | | | | | | | | | Number of loans applied for >= 0.5 | | | | | | | | | | | Major < 1.5 | | | | | | | | | | | | Hours worked < 360 | | | | | | | | | | | | | Gender < 0.5 | | | | | | | | | | | | | | Months in current job < 9 : 1 (1/0) | | | | | | | | | | | | | | Months in current job >= 9 : 0 (1/0) | | | | | | | | | | | | | Gender >= 0.5 : 1 (2/0) | | | | | | | | | | | | Hours worked >= 360 : 0 (3/0) | | | | | | | | | | | Major >= 1.5 : 0 (3/0) | | | | | | | | Number of Dependents >= 1.5 | | | | | | | | | Months in current job < 9 : 0 (1/0) | | | | | | | | | Months in current job >= 9 : 1 (1/0) | | | | | | | Mode of payment >= 1.5 : 1 (1/0) | | | | | | Number of Current loans >= 1.5 : 0 (3/0) | | | | Minor >= 1.5 | | | | | Number of loans applied for < 0.5 : 1 (3/0) | | | | | Number of loans applied for >= 0.5 | | | | | | Age < 22.5 | | | | | | | Area of residence < 1 : 1 (4/0) | | | | | | | Area of residence >= 1 : 0 (1/0) | | | | | | Age >= 22.5 : 0 (6/0) | | | Hours worked >= 446.5 : 1 (1/0) Correlation coefficient 0.1812 Mean absolute error 0.1771 Root mean squared error 0.4204 Relative absolute error 92.9332 % Root relative squared error 138.4155 % Total Number of Instances 652 |
|
=== Run information === Scheme: weka.classifiers.functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a Relation: data_clean Instances: 1918 Attributes: 16 Gender Hours worked Age Months in current job credit rating Number of loans applied for Number of Current loans Country of Birth Area of residence Current GPA Major Minor Mode of study Mode of payment Number of Dependents Would accept loan Test mode: split 66.0% train, remainder test === Classifier model (full training set) === Linear Node 0 Inputs Weights Threshold -0.7934874747063402 Node 1 1.5863171423229618 Node 2 1.933436142639909 Node 3 0.15393051522400075 Node 4 1.1407746615953174 Node 5 2.2277342441589583 Node 6 0.32932988228714843 Node 7 1.8980166584005944 Node 8 3.375913912274132 Sigmoid Node 1 Inputs Weights Threshold -17.633691718807214 Attrib Gender -0.6063023892897429 Attrib Hours worked 7.769587442011242 Attrib Age -1.9705291676168797 Attrib Months in current job -8.027325718113659 Attrib credit rating 2.8555606542937024 Attrib Number of loans applied for 4.615692836961333 Attrib Number of Current loans -6.8789009342525205 Attrib Country of Birth -5.10611624719799 Attrib Area of residence -8.01950853056682 Attrib Current GPA 13.842612102565939 Attrib Major -4.446132689206738 Attrib Minor -0.28767537744344157 Attrib Mode of study 6.944442535352257 Attrib Mode of payment 1.0089412379034852 Attrib Number of Dependents 9.768092701218661 Sigmoid Node 2 Inputs Weights Threshold -16.662521676828288 Attrib Gender -1.8569101323430144 Attrib Hours worked 12.553016217247958 Attrib Age -7.047755961381406 Attrib Months in current job -1.1814674694863674 Attrib credit rating -27.004113126631356 Attrib Number of loans applied for 2.108416633761098 Attrib Number of Current loans 0.4394847112117454 Attrib Country of Birth -10.09760708591061 Attrib Area of residence -4.319783310655949 Attrib Current GPA -1.1393223312855167 Attrib Major -1.9256158427839145 Attrib Minor 10.842215576061717 Attrib Mode of study 10.538531092664792 Attrib Mode of payment -2.6448169101240184 Attrib Number of Dependents 14.427558862848413 Sigmoid Node 3 Inputs Weights Threshold -15.180133064782485 Attrib Gender -11.85854190242291 Attrib Hours worked -5.642654054575123 Attrib Age 6.734479452913219 Attrib Months in current job 6.644944391003227 Attrib credit rating -1.5772815051610865 Attrib Number of loans applied for -4.451480623271361 Attrib Number of Current loans -3.4140282991401145 Attrib Country of Birth 0.6212144172375925 Attrib Area of residence 4.975731597001943 Attrib Current GPA 0.8696636116516945 Attrib Major 13.60039960988846 Attrib Minor 8.463929640984745 Attrib Mode of study 0.8796336138382383 Attrib Mode of payment -2.4352022646989653 Attrib Number of Dependents -3.485405604800929 Sigmoid Node 4 Inputs Weights Threshold -20.702433133742577 Attrib Gender 8.339707995607522 Attrib Hours worked 6.206277387030351 Attrib Age 15.453258268362376 Attrib Months in current job -3.805045342827591 Attrib credit rating 11.19564486368074 Attrib Number of loans applied for -8.306517782295417 Attrib Number of Current loans -9.648072497592967 Attrib Country of Birth -8.932812796364326 Attrib Area of residence -1.1495312804303115 Attrib Current GPA 2.4227049249038237 Attrib Major 3.5155383736363297 Attrib Minor 9.042089557017377 Attrib Mode of study -2.129547650242301 Attrib Mode of payment -1.5910651838042669 Attrib Number of Dependents 11.321894013448372 Sigmoid Node 5 Inputs Weights Threshold -17.244449953145104 Attrib Gender -4.783529172262689 Attrib Hours worked 5.038608731398995 Attrib Age 11.574330545482498 Attrib Months in current job 7.876586149178689 Attrib credit rating -2.0759988797110047 Attrib Number of loans applied for 11.534641041850826 Attrib Number of Current loans 3.2997533417585627 Attrib Country of Birth -3.5132256401850714 Attrib Area of residence -4.542441660925225 Attrib Current GPA -2.018915695070438 Attrib Major -1.0841011712890576 Attrib Minor -6.761690424410381 Attrib Mode of study -4.654800320178031 Attrib Mode of payment -0.9976538120691812 Attrib Number of Dependents 7.612288733619478 Sigmoid Node 6 Inputs Weights Threshold -6.137098232720996 Attrib Gender -5.716361951315588 Attrib Hours worked 0.6446702039710765 Attrib Age 13.730044805406774 Attrib Months in current job -10.985504521926952 Attrib credit rating -0.8736645257369247 Attrib Number of loans applied for -1.4799999919776694 Attrib Number of Current loans -0.15622368042300766 Attrib Country of Birth 3.8405253978569744 Attrib Area of residence 5.501185218542164 Attrib Current GPA 3.4433435667248062 Attrib Major 7.791172520388 Attrib Minor -5.4161975993087195 Attrib Mode of study -1.0072208481631482 Attrib Mode of payment 1.9816853875908345 Attrib Number of Dependents -0.5650051980405012 Sigmoid Node 7 Inputs Weights Threshold -15.797389333164505 Attrib Gender -3.7311214548937186 Attrib Hours worked -5.729013058124828 Attrib Age -6.670133334291946 Attrib Months in current job -12.333635957861258 Attrib credit rating -10.650408713981454 Attrib Number of loans applied for 11.382376535313366 Attrib Number of Current loans -3.03469746185878 Attrib Country of Birth -12.894772818107546 Attrib Area of residence -5.1331761080267135 Attrib Current GPA 1.820379876394602 Attrib Major 14.72059133688235 Attrib Minor -1.149652204631702 Attrib Mode of study 8.948749469595402 Attrib Mode of payment 8.014480302654984 Attrib Number of Dependents -6.6864334005121755 Sigmoid Node 8 Inputs Weights Threshold -14.949834298329886 Attrib Gender -3.5991344246252295 Attrib Hours worked -3.7810856106446775 Attrib Age 7.161906999607669 Attrib Months in current job 2.0342436041298284 Attrib credit rating 3.7353519159896997 Attrib Number of loans applied for -8.651771591411611 Attrib Number of Current loans -1.2697881898939134 Attrib Country of Birth 3.2686778154025995 Attrib Area of residence -4.001677096418436 Attrib Current GPA 9.083856263353365 Attrib Major 6.672251464020582 Attrib Minor 2.8087590082515224 Attrib Mode of study 0.5598027035044083 Attrib Mode of payment 6.694634673793227 Attrib Number of Dependents -1.7862681319840856 Correlation coefficient 0.2197 Mean absolute error 0.1839 Root mean squared error 0.4119 Relative absolute error 96.4854 % Root relative squared error 135.6216 % Total Number of Instances 652 |
|
Scheme: weka.classifiers.functions.LinearRegression -S 0 -R 1.0E-8 -num-decimal-places 4 Relation: data_clean Instances: 1918 Attributes: 16 Gender Hours worked Age Months in current job credit rating Number of loans applied for Number of Current loans Country of Birth Area of residence Current GPA Major Minor Mode of study Mode of payment Number of Dependents Would accept loan -0.0782 * Gender + 0.0001 * Hours worked + 0.0026 * Age + -0.0078 * Months in current job + -0.0022 * credit rating + -0.0254 * Area of residence + 0.1029 * Major + 0.0665 * Minor + 0.08 * Number of Dependents + 0.1331 Correlation coefficient 0.2262 Mean absolute error 0.1859 Root mean squared error 0.2981 Relative absolute error 97.5223 % Root relative squared error 98.1293 % Total Number of Instances 652 |
The analyzed data depends on the column of “would accept loan”. The survey participants were selected based on the analysis of the university that resembles some form of loans. Based on the analysis we can describe weather the student is able to accept the loan or not, again on full time basis or per time basis. Single kind of data is not sufficient to make the decision in the case of analysis and thus the report to contain the collected data. Hence, the analysis has been done based on collected data sets. The equation that stands for this report: “RESULTS = MODELS + FINDINGS”.
The report contains three forms of model building process:
In the required analytical data set can be used as model of Linear Regression for its simplicity. Multi-Layer Perceptions time consuming helps in finding the data. This also requires many training completion for the analysis of the Random Tree in data sets. This is visualized on large scale, which is more difficult to understand keeping in mind the best outcome that we can get from the analysis.
D’Oca, S. and Hong, T., 2015. Occupancy schedules learning process through a data mining framework. Energy and Buildings, 88, pp.395-408.
Dua, S. and Du, X., 2016. Data mining and machine learning in cybersecurity. CRC press.
Fan, C., Xiao, F. and Wang, S., 2014. Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques. Applied Energy, 127, pp.1-10.
Fournier-Viger, P., Gomariz, A., Gueniche, T., Soltani, A., Wu, C.W. and Tseng, V.S., 2014. SPMF: a Java open-source pattern mining library. The Journal of Machine Learning Research, 15(1), pp.3389-3393.
García, S., Luengo, J. and Herrera, F., 2015. Data preprocessing in data mining (pp. 59-139). New York: Springer.
Ilardi, E.A., Vitaku, E. and Njardarson, J.T., 2013. Data-mining for sulfur and fluorine: An evaluation of pharmaceuticals to reveal opportunities for drug design and discovery: Miniperspective. Journal of medicinal chemistry, 57(7), pp.2832-2842.
Rutkowski, L., Pietruczuk, L., Duda, P. and Jaworski, M., 2013. Decision trees for mining data streams based on the McDiarmid's bound. IEEE Transactions on Knowledge and Data Engineering, 25(6), pp.1272-1279.
Xiao, F. and Fan, C., 2014. Data mining in building automation system for improving building operational performance. Energy and buildings, 75, pp.109-118.
To View this & another 50000+ free samples. Please put your valid email id.
Earn back the money you have spent on the downloaded sample by uploading a unique assignment/study material/research material you have. After we assess the authenticity of the uploaded content, you will get 100% money back in your wallet within 7 days.
Upload
Unique Document
Document
Under Evaluation
Get Money
into Your Wallet
Total 85 pages, 1 USD Per Page
To export a reference to this article please select a referencing stye below:
My Assignment Help. (2021). Data Mining And Business Intelligence. Retrieved from https://myassignmenthelp.com/free-samples/isy310-data-mining-and-business-intelligence/process-collection.html.
"Data Mining And Business Intelligence." My Assignment Help, 2021, https://myassignmenthelp.com/free-samples/isy310-data-mining-and-business-intelligence/process-collection.html.
My Assignment Help (2021) Data Mining And Business Intelligence [Online]. Available from: https://myassignmenthelp.com/free-samples/isy310-data-mining-and-business-intelligence/process-collection.html
[Accessed 27 October 2021].
My Assignment Help. 'Data Mining And Business Intelligence' (My Assignment Help, 2021) <https://myassignmenthelp.com/free-samples/isy310-data-mining-and-business-intelligence/process-collection.html> accessed 27 October 2021.
My Assignment Help. Data Mining And Business Intelligence [Internet]. My Assignment Help. 2021 [cited 27 October 2021]. Available from: https://myassignmenthelp.com/free-samples/isy310-data-mining-and-business-intelligence/process-collection.html.
At MyAssignmenthelp.com, we are committed to deliver quality assignment assistance in the fastest way possible. To make our service delivery fast, we have hired subject matter experts to work on different subject specific assignments. We have hired experts who owe in-depth knowledge in their respective subjects. As per their expertise, they provide geography assignment help, Physics assignment help, Strategic assignment help, history assignment help, art architecture assignment help and assistance with other subjects as well.
(TechTarget 2016)
(Cinergix Pty Ltd. 2011)
TechTarget (2016), entity relationship diagram, Retrieved from http://searchcrm.techtarget.com/definition/entity-relationship-diagram.
Cinergix Pty Ltd. (2011), Ultimate Guide to ER Diagrams, Retrieved from http://creately.com/blog/diagrams/er-diagrams-tutorial/
Answer: CCAvg Education Mortgage Personal Loan Securities Account CD Account Online CreditCard 1.6 1 0 0 1 0 0 0 1.5 1 0 0 1 0 0 0 1 1 0 0 0 0 0 0 1 2 0 0 0 0 0 1 1.5 2 0 0 0 0 1 0 0.6 2 104 0 0 0 1 0 8.9 3 0 1 0 0 0 0 2.4 3 0 0 0 0 0 0 2.5 2 0 0 0 0 1 0 1.5 3 0 0 0 0 1 1 0.9 2 111 0 0 0 1 0 2 ...
Read More
Answers: 1: a). Single precision IEEE 754 format- 0 01111110 10100000000000000000000 The first MSB is the sign, the middle portion is the exponent and the last portion is the mantissa. Decimal conversion- 8.125 * 10^-1 b) 5-bit word- 0 1010 Signed magnitude- +10 (Most significant bit-0 [positive] rest 4 bits are magnitude) One’s complement- 10101 (all the 0’s are replaced by 1 and vice-versa) Two’s complement- ...
Read More
Answer: Data Warehouse Bus Matrix: Business processes Dimensions Date Payment method Customer Employee Flights Membership Points Diagnosis Tool Products Agents Commission Flight management X X X X X X Awarding programs and services X &nb...
Read More
Answer: Trivial Functional Dependencies: Table Name Attributes Dependencies Author Email Name, Address, Telephone1, Telephone2, Telephone3 Publisher Name Address, URL, ABN WrittenBy Email, ISBN Title Book ISBN Title, Edition, Year, ListPrice, PublisherName StokedAt ISBN, Code StockQty ShoppingCart CartID Timest...
Read More
Are you confident that you will achieve the grade?
Our best Expert will help you improve your grade
On APP - grab it while it lasts!
*Offer eligible for first 3 orders ordered through app!
