DEVELOPMENT... OpenML
Run
133396

Run 133396

Task 3898 (Supervised Classification) kc1-top5 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
0.8358
Per class
Build CPU time
0.0308
Build memory
3086756817.7655
F measure
0.92
Per class
Kappa
0.1348
KB relative information score
-44.9607
Mean absolute error
0.0884
Mean prior absolute error
0.1096
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
0.9117
Per class
Predictive accuracy
0.931
Prior entropy
0.3323
Recall
0.931
Per class
Relative absolute error
0.8064
Root mean prior squared error
0.2284
Root mean squared error
0.2219
Root relative squared error
0.9718
SciMark benchmark
943.8094