DEVELOPMENT... OpenML
Run
132107

Run 132107

Task 3798 (Supervised Classification) fri_c1_250_10 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
0.9531
Per class
Build CPU time
0.1056
Build memory
2074820787.2
F measure
0.8838
Per class
Kappa
0.7639
KB relative information score
146.3208
Mean absolute error
0.2238
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8839
Per class
Predictive accuracy
0.884
Prior entropy
0.9898
Recall
0.884
Per class
Relative absolute error
0.4541
Root mean prior squared error
0.4964
Root mean squared error
0.2995
Root relative squared error
0.6034
SciMark benchmark
939.8137