DEVELOPMENT... OpenML
Run
133888

Run 133888

Task 3781 (Supervised Classification) fri_c4_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
0.885
Per class
Build CPU time
0.1085
Build memory
418416677.6
F measure
0.827
Per class
Kappa
0.6513
KB relative information score
72.7809
Mean absolute error
0.3756
Mean prior absolute error
0.4968
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
0.8294
Per class
Predictive accuracy
0.828
Prior entropy
0.9955
Recall
0.828
Per class
Relative absolute error
0.7561
Root mean prior squared error
0.4984
Root mean squared error
0.4006
Root relative squared error
0.8037
SciMark benchmark
946.9091