DEVELOPMENT... OpenML
Run
133135

Run 133135

Task 3605 (Supervised Classification) sleep Uploaded 27-12-2014 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)_I20
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
0.675
Per class
Build CPU time
0.0247
Build memory
450975297.2903
F measure
0.6931
Per class
Kappa
0.3832
KB relative information score
11.5696
Mean absolute error
0.4211
Mean prior absolute error
0.498
Number of instances
62
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6931
Per class
Predictive accuracy
0.6935
Prior entropy
0.9972
Recall
0.6935
Per class
Relative absolute error
0.8456
Root mean prior squared error
0.499
Root mean squared error
0.493
Root relative squared error
0.9882
SciMark benchmark
943.8094