DEVELOPMENT... OpenML
Run
144356

Run 144356

Task 3660 (Supervised Classification) disclosure_x_tampered Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

22 Evaluation measures

Area under ROC curve
0.5182
Per class
F measure
0.5107
Per class
Kappa
0.0229
KB relative information score
11.3148
Mean absolute error
0.4925
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
0.5116
Per class
Predictive accuracy
0.5121
Prior entropy
0.9999
Recall
0.5121
Per class
Relative absolute error
0.9851
Root mean prior squared error
0.5
Root mean squared error
0.5255
Root relative squared error
1.0511
SciMark benchmark
902.4773
UserCPU time millis
130
UserCPU time millis training
130