Run
25060

Run 25060

Task 94 (Learning Curve) dermatology Uploaded 16-08-2014 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
0.9667 ± 0.0185
Per class
Build CPU time
0.0002
Build memory
1606826923.3333
F measure
0.9426 ± 0.0334
Per class
Kappa
0.9286 ± 0.0403
KB relative information score
0.9252 ± 0.0372
Mean absolute error
0.0235 ± 0.0104
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9438 ± 0.0297
Per class
Predictive accuracy
0.9429 ± 0.0323
Prior entropy
2.4327 ± 0.0089
Recall
0.9429 ± 0.0323
Per class
Relative absolute error
0.0883 ± 0.0392
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.1364 ± 0.0463
Root relative squared error
0.3738 ± 0.1268
SciMark benchmark
1140.2131[697.1385191228521986.1591667154037536.602566195167948.07953003345362533.0858003093394]