DEVELOPMENT... OpenML
Run
131666

Run 131666

Task 47 (Supervised Classification) tae 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
0.8242
Per class
Build CPU time
1.2528
Build memory
1429010613.298
F measure
0.6943
Per class
Kappa
0.5433
KB relative information score
89.7848
Mean absolute error
0.1971
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6956
Per class
Predictive accuracy
0.6954
Prior entropy
1.5845
Recall
0.6954
Per class
Relative absolute error
0.4436
Root mean prior squared error
0.4713
Root mean squared error
0.4306
Root relative squared error
0.9137
SciMark benchmark
945.0532

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