Run
416106

Run 416106

Task 3058 (Supervised Classification) grub-damage 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
0.5499
Per class
Cross-validation details (33% Holdout set)
F measure
0.2427
Per class
Cross-validation details (33% Holdout set)
Kappa
0.0599
Cross-validation details (33% Holdout set)
KB relative information score
4.2049
Cross-validation details (33% Holdout set)
Mean absolute error
0.3545
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3627
Cross-validation details (33% Holdout set)
Number of instances
51
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
0.1827
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.3725
Cross-validation details (33% Holdout set)
Prior entropy
1.9281
Cross-validation details (33% Holdout set)
Recall
0.3725
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9774
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.425
Cross-validation details (33% Holdout set)
Root mean squared error
0.4288
Cross-validation details (33% Holdout set)
Root relative squared error
1.009
Cross-validation details (33% Holdout set)
SciMark benchmark
935.6052