DEVELOPMENT... OpenML
Run
145805

Run 145805

Task 29 (Supervised Classification) credit-approval Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8699
Per class
F measure
0.8651
Per class
Kappa
0.7269
KB relative information score
500.4371
Mean absolute error
0.135
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8651
Per class
Predictive accuracy
0.8652
Prior entropy
0.9913
Recall
0.8652
Per class
Relative absolute error
0.2733
Root mean prior squared error
0.497
Root mean squared error
0.367
Root relative squared error
0.7385
SciMark benchmark
1160.1034
UserCPU time millis
1730
UserCPU time millis testing
70
UserCPU time millis training
1660