Run
415858

Run 415858

Task 261 (Supervised Classification) credit-g Uploaded 07-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_DecisionStump(3)_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
0.6889
Per class
Cross-validation details (33% Holdout set)
F measure
0.5765
Per class
Cross-validation details (33% Holdout set)
KB relative information score
70.3912
Cross-validation details (33% Holdout set)
Mean absolute error
0.3106
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4202
Cross-validation details (33% Holdout set)
Number of instances
330
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.49
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7
Cross-validation details (33% Holdout set)
Prior entropy
0.8818
Cross-validation details (33% Holdout set)
Recall
0.7
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7392
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4583
Cross-validation details (33% Holdout set)
Root mean squared error
0.495
Cross-validation details (33% Holdout set)
Root relative squared error
1.0801
Cross-validation details (33% Holdout set)
SciMark benchmark
935.6052
UserCPU time millis
30
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)