DEVELOPMENT... OpenML
Run
136827

Run 136827

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey 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
0.5385
Per class
Build CPU time
0.0056
Build memory
785290804.2264
F measure
0.6743
Per class
Kappa
0.0765
KB relative information score
-17.9382
Mean absolute error
0.3332
Mean prior absolute error
0.3453
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6831
Per class
Predictive accuracy
0.6667
Prior entropy
0.7667
Recall
0.6667
Per class
Relative absolute error
0.965
Root mean prior squared error
0.4143
Root mean squared error
0.572
Root relative squared error
1.3806
SciMark benchmark
916.3022