DEVELOPMENT... OpenML
Run
146357

Run 146357

Task 42 (Supervised Classification) haberman 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)_I80
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
0.6192
Per class
F measure
0.6915
Per class
Kappa
0.166
KB relative information score
24.1628
Mean absolute error
0.3298
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6832
Per class
Predictive accuracy
0.719
Prior entropy
0.836
Recall
0.719
Per class
Relative absolute error
0.8456
Root mean prior squared error
0.4412
Root mean squared error
0.4775
Root relative squared error
1.0824
SciMark benchmark
911.3823
UserCPU time millis
10
UserCPU time millis training
10