DEVELOPMENT... OpenML
Run
131300

Run 131300

Task 3561 (Supervised Classification) profb Uploaded 25-12-2014 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
0.5463
Per class
Build CPU time
0.1276
Build memory
356414512.3929
F measure
0.5666
Per class
Kappa
0.0026
KB relative information score
-6.1545
Mean absolute error
0.4376
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5572
Per class
Predictive accuracy
0.625
Prior entropy
0.9188
Recall
0.625
Per class
Relative absolute error
0.9843
Root mean prior squared error
0.4714
Root mean squared error
0.4838
Root relative squared error
1.0263
SciMark benchmark
941.6106