DEVELOPMENT... OpenML
Run
132525

Run 132525

Task 3592 (Supervised Classification) fri_c2_100_5 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)_I40
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
0.879
Per class
Build CPU time
0.0266
Build memory
129704330.4
F measure
0.8075
Per class
Kappa
0.5957
KB relative information score
48.4144
Mean absolute error
0.2573
Mean prior absolute error
0.4804
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
0.8092
Per class
Predictive accuracy
0.81
Prior entropy
0.9721
Recall
0.81
Per class
Relative absolute error
0.5356
Root mean prior squared error
0.4899
Root mean squared error
0.3602
Root relative squared error
0.7353
SciMark benchmark
920.6725