Run
434703

Run 434703

Task 94 (Learning Curve) dermatology Uploaded 12-05-2015 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)_I40
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.

20 Evaluation measures

Area under ROC curve
0.7718 ± 0.0169
Per class
Kappa
0.3397 ± 0.0096
KB relative information score
0.368 ± 0.0106
Mean absolute error
0.2033 ± 0.0023
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.5027 ± 0.0102
Prior entropy
2.4327 ± 0.0089
Recall
0.5027 ± 0.0102
Per class
Relative absolute error
0.763 ± 0.008
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.319 ± 0.0046
Root relative squared error
0.8742 ± 0.0119
SciMark benchmark
944.3124