Run
50937

Run 50937

Task 1735 (Learning Curve) segment Uploaded 06-11-2014 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
0.9841 ± 0.0089
Per class
Build CPU time
0.043
Build memory
143334850.1333
F measure
0.9727 ± 0.0153
Per class
Kappa
0.9682 ± 0.0178
KB relative information score
0.9692 ± 0.0165
Mean absolute error
0.0086 ± 0.0044
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9728 ± 0.015
Per class
Predictive accuracy
0.9727 ± 0.0153
Prior entropy
2.8074
Recall
0.9727 ± 0.0153
Per class
Relative absolute error
0.0349 ± 0.0178
Root mean prior squared error
0.3499
Root mean squared error
0.0881 ± 0.0265
Root relative squared error
0.2519 ± 0.0757
SciMark benchmark
1615.5755