Run
59540

Run 59540

Task 1721 (Learning Curve) mfeat-zernike 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
0.8827 ± 0.0068
Per class
Build CPU time
0.1364
Build memory
1016444502.4727
F measure
0.791 ± 0.0113
Per class
Kappa
0.7656 ± 0.0154
KB relative information score
0.7777 ± 0.0145
Mean absolute error
0.043 ± 0.0028
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7941 ± 0.0093
Per class
Predictive accuracy
0.789 ± 0.0139
Prior entropy
3.3219
Recall
0.789 ± 0.0139
Per class
Relative absolute error
0.2387 ± 0.0154
Root mean prior squared error
0.3
Root mean squared error
0.2049 ± 0.0067
Root relative squared error
0.6829 ± 0.0224
SciMark benchmark
947.0414