DEVELOPMENT... OpenML
Run
146899

Run 146899

Task 29 (Supervised Classification) credit-approval Uploaded 01-02-2015 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)_I40
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
0.8749
Per class
F measure
0.8448
Per class
Kappa
0.6857
KB relative information score
474.9782
Mean absolute error
0.1528
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8448
Per class
Predictive accuracy
0.8449
Prior entropy
0.9913
Recall
0.8449
Per class
Relative absolute error
0.3094
Root mean prior squared error
0.497
Root mean squared error
0.385
Root relative squared error
0.7746
SciMark benchmark
942.0096
UserCPU time millis
510
UserCPU time millis testing
20
UserCPU time millis training
490