DEVELOPMENT... OpenML
Run
132016

Run 132016

Task 3695 (Supervised Classification) fri_c2_250_10 Uploaded 26-12-2014 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)_I80
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
0.9556
Per class
Build CPU time
0.0883
Build memory
707295412.8
F measure
0.9072
Per class
Kappa
0.798
KB relative information score
160.3747
Mean absolute error
0.1803
Mean prior absolute error
0.4633
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
0.9079
Per class
Predictive accuracy
0.908
Prior entropy
0.9468
Recall
0.908
Per class
Relative absolute error
0.3892
Root mean prior squared error
0.4812
Root mean squared error
0.2752
Root relative squared error
0.5719
SciMark benchmark
943.7751