DEVELOPMENT... OpenML
Run
133829

Run 133829

Task 3715 (Supervised Classification) fri_c0_100_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
0.7237
Per class
Build CPU time
0.0398
Build memory
126825299.2
F measure
0.64
Per class
Kappa
0.2803
KB relative information score
11.4639
Mean absolute error
0.4535
Mean prior absolute error
0.4998
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6405
Per class
Predictive accuracy
0.64
Prior entropy
0.9997
Recall
0.64
Per class
Relative absolute error
0.9074
Root mean prior squared error
0.4999
Root mean squared error
0.4658
Root relative squared error
0.9318
SciMark benchmark
946.9091