DEVELOPMENT... OpenML
Run
122051

Run 122051

Task 3660 (Supervised Classification) disclosure_x_tampered Uploaded 13-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.5219
Per class
Build CPU time
1.8026
Build memory
79226139.6858
F measure
0.5211
Per class
Kappa
0.0518
KB relative information score
6.791
Mean absolute error
0.496
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
0.5272
Per class
Predictive accuracy
0.5272
Prior entropy
0.9999
Recall
0.5272
Per class
Relative absolute error
0.9922
Root mean prior squared error
0.5
Root mean squared error
0.5051
Root relative squared error
1.0103
SciMark benchmark
931.16