DEVELOPMENT... OpenML
Run
132057

Run 132057

Task 3741 (Supervised Classification) fri_c2_250_50 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
0.8914
Per class
Build CPU time
0.1028
Build memory
200476427.2
F measure
0.8119
Per class
Kappa
0.6202
KB relative information score
79.8955
Mean absolute error
0.361
Mean prior absolute error
0.4954
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
0.8119
Per class
Predictive accuracy
0.812
Prior entropy
0.9934
Recall
0.812
Per class
Relative absolute error
0.7287
Root mean prior squared error
0.4977
Root mean squared error
0.3911
Root relative squared error
0.7858
SciMark benchmark
946.4503