DEVELOPMENT... OpenML
Run
132000

Run 132000

Task 3675 (Supervised Classification) pbc 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)_I80
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
0.7736
Per class
Build CPU time
0.3014
Build memory
476626546.2775
F measure
0.6822
Per class
Kappa
0.3564
KB relative information score
103.8163
Mean absolute error
0.3816
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6828
Per class
Predictive accuracy
0.6842
Prior entropy
0.9928
Recall
0.6842
Per class
Relative absolute error
0.7709
Root mean prior squared error
0.4975
Root mean squared error
0.4382
Root relative squared error
0.8808
SciMark benchmark
943.7751