DEVELOPMENT... OpenML
Run
111050

Run 111050

Task 3646 (Supervised Classification) rabe_265 Uploaded 09-12-2014 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.

21 Evaluation measures

Area under ROC curve
0.6333
Per class
Build CPU time
0.0068
Build memory
81031424.3137
F measure
0.622
Per class
Kappa
0.2141
KB relative information score
9.2262
Mean absolute error
0.3953
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6209
Per class
Predictive accuracy
0.6275
Prior entropy
0.9791
Recall
0.6275
Per class
Relative absolute error
0.8151
Root mean prior squared error
0.4922
Root mean squared error
0.5478
Root relative squared error
1.113
SciMark benchmark
939.6298