DEVELOPMENT... OpenML
Run
146879

Run 146879

Task 4 (Supervised Classification) labor 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
0.9155
Per class
F measure
0.8934
Per class
Kappa
0.7635
KB relative information score
42.9226
Mean absolute error
0.1078
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8944
Per class
Predictive accuracy
0.8947
Prior entropy
0.9393
Recall
0.8947
Per class
Relative absolute error
0.236
Root mean prior squared error
0.4773
Root mean squared error
0.3162
Root relative squared error
0.6625
SciMark benchmark
947.0793
UserCPU time millis
30
UserCPU time millis training
30