Run
59605

Run 59605

Task 1752 (Learning Curve) vehicle Uploaded 15-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_IBk(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.MultiBoostAB_IBk(2)_C3
weka.MultiBoostAB_IBk(2)_P100
weka.MultiBoostAB_IBk(2)_S1
weka.MultiBoostAB_IBk(2)_I10
weka.MultiBoostAB_IBk(2)_Wweka.classifiers.lazy.IBk

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.

21 Evaluation measures

Area under ROC curve
0.7903 ± 0.0243
Per class
Build CPU time
0.0222
Build memory
1526066821.0667
F measure
0.6821 ± 0.0378
Per class
Kappa
0.5806 ± 0.0491
KB relative information score
0.6196 ± 0.0444
Mean absolute error
0.1583 ± 0.0183
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6791 ± 0.0407
Per class
Predictive accuracy
0.6856 ± 0.0367
Prior entropy
1.9991 ± 0.0005
Recall
0.6856 ± 0.0367
Per class
Relative absolute error
0.4224 ± 0.0487
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3955 ± 0.0241
Root relative squared error
0.9135 ± 0.0555
SciMark benchmark
947.0414