DEVELOPMENT... OpenML
Run
133786

Run 133786

Task 3660 (Supervised Classification) disclosure_x_tampered Uploaded 28-12-2014 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)_I10
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
0.4878
Per class
Build CPU time
0.2728
Build memory
774845634.0423
F measure
0.4828
Per class
Kappa
-0.0341
KB relative information score
-3.4603
Mean absolute error
0.5012
Mean prior absolute error
0.4999
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.483
Per class
Predictive accuracy
0.4834
Prior entropy
0.9999
Recall
0.4834
Per class
Relative absolute error
1.0026
Root mean prior squared error
0.5
Root mean squared error
0.5332
Root relative squared error
1.0666
SciMark benchmark
939.084