Run
434829

Run 434829

Task 98 (Learning Curve) sonar 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)_I80
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
0.9031 ± 0.0621
Per class
F measure
0.8213 ± 0.0832
Per class
Kappa
0.6407 ± 0.1647
KB relative information score
0.6346 ± 0.1573
Mean absolute error
0.1823 ± 0.0773
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8217 ± 0.0807
Per class
Predictive accuracy
0.8216 ± 0.0815
Prior entropy
0.9967 ± 0.0043
Recall
0.8216 ± 0.0815
Per class
Relative absolute error
0.3663 ± 0.1553
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3998 ± 0.0999
Root relative squared error
0.8015 ± 0.2003
SciMark benchmark
929.4364
UserCPU time millis
320
UserCPU time millis testing
10
UserCPU time millis training
310