DEVELOPMENT... OpenML
Run
133409

Run 133409

Task 3913 (Supervised Classification) kc2 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)_I20
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
0.6924
Per class
Build CPU time
2.5437
Build memory
752634605.3793
F measure
0.8222
Per class
Kappa
0.427
KB relative information score
188.179
Mean absolute error
0.1827
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8193
Per class
Predictive accuracy
0.8333
Prior entropy
0.734
Recall
0.8333
Per class
Relative absolute error
0.5594
Root mean prior squared error
0.4037
Root mean squared error
0.4076
Root relative squared error
1.0097
SciMark benchmark
943.8094