DEVELOPMENT... OpenML
Run
133850

Run 133850

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 28-12-2014 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)_I10
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
0.8989
Per class
Build CPU time
0.1275
Build memory
471737701.6
F measure
0.8217
Per class
Kappa
0.6349
KB relative information score
65.9301
Mean absolute error
0.3841
Mean prior absolute error
0.4908
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
0.8264
Per class
Predictive accuracy
0.824
Prior entropy
0.9868
Recall
0.824
Per class
Relative absolute error
0.7826
Root mean prior squared error
0.4954
Root mean squared error
0.4047
Root relative squared error
0.8169
SciMark benchmark
939.084