Run
60059

Run 60059

Task 2094 (Learning Curve) adult Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.7205 ± 0.0134
Per class
Build CPU time
140.8155
Build memory
2231793356.24
F measure
0.7976 ± 0.0072
Per class
Kappa
0.4426 ± 0.0223
KB relative information score
0.3751 ± 0.0194
Mean absolute error
0.2018 ± 0.0063
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7971 ± 0.008
Per class
Predictive accuracy
0.7982 ± 0.0063
Prior entropy
0.7938 ± 0.0002
Recall
0.7982 ± 0.0063
Per class
Relative absolute error
0.5544 ± 0.0172
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.4493 ± 0.007
Root relative squared error
1.053 ± 0.0165
SciMark benchmark
1769.7895