DEVELOPMENT... OpenML
Run
133784

Run 133784

Task 3658 (Supervised Classification) fri_c3_250_10 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
0.9685
Per class
Build CPU time
0.0883
Build memory
708672184
F measure
0.9119
Per class
Kappa
0.8226
KB relative information score
157.0086
Mean absolute error
0.2054
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
0.912
Per class
Predictive accuracy
0.912
Prior entropy
0.9955
Recall
0.912
Per class
Relative absolute error
0.4135
Root mean prior squared error
0.4984
Root mean squared error
0.2772
Root relative squared error
0.5562
SciMark benchmark
939.084