DEVELOPMENT... OpenML
Run
165180

Run 165180

Task 3660 (Supervised Classification) disclosure_x_tampered Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I160
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.5322
Per class
F measure
0.5206
Per class
Kappa
0.0544
KB relative information score
27.2691
Mean absolute error
0.4813
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
0.5291
Per class
Predictive accuracy
0.5287
Prior entropy
0.9999
Recall
0.5287
Per class
Relative absolute error
0.9627
Root mean prior squared error
0.5
Root mean squared error
0.5428
Root relative squared error
1.0856
SciMark benchmark
911.3823
UserCPU time millis
210
UserCPU time millis testing
10
UserCPU time millis training
200

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