DEVELOPMENT... OpenML
Run
132808

Run 132808

Task 3911 (Supervised Classification) ar4 Uploaded 27-12-2014 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)_I40
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
0.7899
Per class
Build CPU time
0.0264
Build memory
1139617644.486
F measure
0.8351
Per class
Kappa
0.4185
KB relative information score
23.0763
Mean absolute error
0.2223
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.835
Per class
Predictive accuracy
0.8505
Prior entropy
0.707
Recall
0.8505
Per class
Relative absolute error
0.7229
Root mean prior squared error
0.3899
Root mean squared error
0.348
Root relative squared error
0.8924
SciMark benchmark
945.5885