DEVELOPMENT... OpenML
Run
146200

Run 146200

Task 3835 (Supervised Classification) squash-stored 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
0.8103
Per class
F measure
0.7892
Per class
Kappa
0.5769
KB relative information score
29.3902
Mean absolute error
0.2136
Mean prior absolute error
0.4936
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7951
Per class
Predictive accuracy
0.7885
Prior entropy
0.9911
Recall
0.7885
Per class
Relative absolute error
0.4328
Root mean prior squared error
0.4967
Root mean squared error
0.4583
Root relative squared error
0.9227
SciMark benchmark
915.2795
UserCPU time millis
140
UserCPU time millis training
140