Run
59600

Run 59600

Task 1742 (Learning Curve) spambase 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
0.9031 ± 0.0097
Per class
Build CPU time
8.2659
Build memory
1267835602.0571
F measure
0.9074 ± 0.0089
Per class
Kappa
0.8061 ± 0.0186
KB relative information score
0.8022 ± 0.0191
Mean absolute error
0.0926 ± 0.009
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9074 ± 0.0092
Per class
Predictive accuracy
0.9074 ± 0.009
Prior entropy
0.9674 ± 0.0006
Recall
0.9074 ± 0.009
Per class
Relative absolute error
0.1939 ± 0.0188
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3043 ± 0.0148
Root relative squared error
0.6227 ± 0.0302
SciMark benchmark
947.0414