DEVELOPMENT... OpenML
Run
146885

Run 146885

Task 11 (Supervised Classification) balance-scale 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
0.8894
Per class
F measure
0.7825
Per class
Kappa
0.5965
KB relative information score
335.357
Mean absolute error
0.158
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.803
Per class
Predictive accuracy
0.7632
Prior entropy
1.3212
Recall
0.7632
Per class
Relative absolute error
0.4161
Root mean prior squared error
0.4356
Root mean squared error
0.3908
Root relative squared error
0.8972
SciMark benchmark
945.3151
UserCPU time millis
330
UserCPU time millis testing
10
UserCPU time millis training
320