DEVELOPMENT... OpenML
Run
136568

Run 136568

Task 1819 (Supervised Classification) vote Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9684
Per class
Build CPU time
0.0198
Build memory
1089672055.7168
F measure
0.9377
Per class
Kappa
0.8692
KB relative information score
1880.913
Mean absolute error
0.0631
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9385
Per class
Predictive accuracy
0.9375
Prior entropy
0.9627
Recall
0.9375
Per class
Relative absolute error
0.1331
Root mean prior squared error
0.4869
Root mean squared error
0.2345
Root relative squared error
0.4817
SciMark benchmark
941.8828