DEVELOPMENT... OpenML
Run
131064

Run 131064

Task 30 (Supervised Classification) page-blocks Uploaded 25-12-2014 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)_I160
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
0.9562
Per class
Build CPU time
109.0767
Build memory
2108693027.2304
F measure
0.9746
Per class
Kappa
0.8655
KB relative information score
4475.3927
Mean absolute error
0.0103
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9745
Per class
Predictive accuracy
0.9752
Prior entropy
0.6391
Recall
0.9752
Per class
Relative absolute error
0.1355
Root mean prior squared error
0.1949
Root mean squared error
0.0982
Root relative squared error
0.5041
SciMark benchmark
927.3354