DEVELOPMENT... OpenML
Run
131613

Run 131613

Task 3916 (Supervised Classification) kc1-binary Uploaded 26-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.8126
Per class
Build CPU time
0.0918
Build memory
789144288.5517
F measure
0.7248
Per class
Kappa
0.4341
KB relative information score
50.6099
Mean absolute error
0.3217
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7257
Per class
Predictive accuracy
0.7241
Prior entropy
0.979
Recall
0.7241
Per class
Relative absolute error
0.6627
Root mean prior squared error
0.4925
Root mean squared error
0.4156
Root relative squared error
0.8438
SciMark benchmark
945.0532