Run
415862

Run 415862

Task 265 (Supervised Classification) dermatology 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
0.8051
Per class
Cross-validation details (33% Holdout set)
F measure
0.3841
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3679
Cross-validation details (33% Holdout set)
KB relative information score
43.9925
Cross-validation details (33% Holdout set)
Mean absolute error
0.2023
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
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
0.3082
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5333
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.5333
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7624
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.3136
Cross-validation details (33% Holdout set)
Root relative squared error
0.8633
Cross-validation details (33% Holdout set)
SciMark benchmark
935.6052