Run
59529

Run 59529

Task 1705 (Learning Curve) letter 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
0.9824 ± 0.0022
Per class
Build CPU time
4.4858
Build memory
777411152.2667
F measure
0.9594 ± 0.0052
Per class
Kappa
0.9578 ± 0.0055
KB relative information score
0.9596 ± 0.0052
Mean absolute error
0.0032 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9595 ± 0.005
Per class
Predictive accuracy
0.9594 ± 0.0052
Prior entropy
4.6998 ± 0.0001
Recall
0.9594 ± 0.0052
Per class
Relative absolute error
0.0435 ± 0.0051
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0551 ± 0.0036
Root relative squared error
0.2866 ± 0.0187
SciMark benchmark
947.0414