DEVELOPMENT... OpenML
Run
135053

Run 135053

Task 3740 (Supervised Classification) fri_c1_100_50 Uploaded 28-12-2014 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)_I20
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
0.5235
Per class
Build CPU time
0.0028
Build memory
2268495046.4
F measure
0.5323
Per class
Kappa
0.048
KB relative information score
6.0952
Mean absolute error
0.46
Mean prior absolute error
0.4929
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
0.5315
Per class
Predictive accuracy
0.54
Prior entropy
0.99
Recall
0.54
Per class
Relative absolute error
0.9332
Root mean prior squared error
0.4964
Root mean squared error
0.6782
Root relative squared error
1.3663
SciMark benchmark
946.9091

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