Run
434727

Run 434727

Task 116 (Learning Curve) ionosphere 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.

22 Evaluation measures

Area under ROC curve
0.9526 ± 0.0399
Per class
F measure
0.8928 ± 0.0517
Per class
Kappa
0.7626 ± 0.1152
KB relative information score
0.767 ± 0.1008
Mean absolute error
0.1043 ± 0.0442
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9071 ± 0.0416
Per class
Predictive accuracy
0.8969 ± 0.0471
Prior entropy
0.9418 ± 0.0113
Recall
0.8969 ± 0.0471
Per class
Relative absolute error
0.2265 ± 0.0961
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.2988 ± 0.0776
Root relative squared error
0.6229 ± 0.1618
SciMark benchmark
938.3789
UserCPU time millis
140
UserCPU time millis training
140