DEVELOPMENT... OpenML
Run
132857

Run 132857

Task 36 (Supervised Classification) segment 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
0.9993
Per class
Build CPU time
0.8209
Build memory
1206191976.8
F measure
0.9796
Per class
Kappa
0.9763
KB relative information score
2220.8985
Mean absolute error
0.0162
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9796
Per class
Predictive accuracy
0.9797
Prior entropy
2.8074
Recall
0.9797
Per class
Relative absolute error
0.0662
Root mean prior squared error
0.3499
Root mean squared error
0.0702
Root relative squared error
0.2007
SciMark benchmark
945.5885