Run
25565

Run 25565

Task 72 (Learning Curve) breast-cancer Uploaded 19-08-2014 by Jan van Rijn
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.6465 ± 0.1144
Per class
Build CPU time
0.0001
Build memory
7628505886.16
F measure
0.7063 ± 0.0763
Per class
Kappa
0.2682 ± 0.1919
KB relative information score
0.1985 ± 0.1747
Mean absolute error
0.3162 ± 0.0678
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.707 ± 0.0915
Per class
Predictive accuracy
0.7294 ± 0.0668
Prior entropy
0.8779 ± 0.0199
Recall
0.7294 ± 0.0668
Per class
Relative absolute error
0.7558 ± 0.1608
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4947 ± 0.0661
Root relative squared error
1.0825 ± 0.1438
SciMark benchmark
1112.7745[671.8954196005551955.3569887288922519.2175267369778937.23277238279132480.1696524029476]