DEVELOPMENT... OpenML
Run
111303

Run 111303

Task 3672 (Supervised Classification) kin8nm 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
0.8904
Per class
Build CPU time
95.5408
Build memory
1052393602.46
F measure
0.8771
Per class
Kappa
0.7541
KB relative information score
6172.8118
Mean absolute error
0.1232
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8771
Per class
Predictive accuracy
0.8771
Prior entropy
0.9998
Recall
0.8771
Per class
Relative absolute error
0.2465
Root mean prior squared error
0.4999
Root mean squared error
0.3485
Root relative squared error
0.6971
SciMark benchmark
890.3066