Run
59530

Run 59530

Task 1710 (Learning Curve) balance-scale 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
0.9268 ± 0.014
Per class
Build CPU time
0.0138
Build memory
760392092.8
F measure
0.8397 ± 0.0167
Per class
Kappa
0.7473 ± 0.0354
KB relative information score
0.5696 ± 0.0414
Mean absolute error
0.1455 ± 0.0189
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8242 ± 0.0223
Per class
Predictive accuracy
0.8608 ± 0.0202
Prior entropy
1.3181 ± 0.0124
Recall
0.8608 ± 0.0202
Per class
Relative absolute error
0.3831 ± 0.0497
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2797 ± 0.0141
Root relative squared error
0.6421 ± 0.0327
SciMark benchmark
947.0414