DEVELOPMENT... OpenML
Run
146350

Run 146350

Task 36 (Supervised Classification) segment 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
0.993
Per class
F measure
0.9866
Per class
Kappa
0.9843
KB relative information score
2276.3968
Mean absolute error
0.0039
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9866
Per class
Predictive accuracy
0.9866
Prior entropy
2.8074
Recall
0.9866
Per class
Relative absolute error
0.0158
Root mean prior squared error
0.3499
Root mean squared error
0.0617
Root relative squared error
0.1763
SciMark benchmark
876.8277
UserCPU time millis
7960
UserCPU time millis testing
230
UserCPU time millis training
7730