Run
59587

Run 59587

Task 1736 (Learning Curve) diabetes 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
0.6658 ± 0.0492
Per class
Build CPU time
0.0193
Build memory
859322166.9
F measure
0.707 ± 0.0522
Per class
Kappa
0.3503 ± 0.1084
KB relative information score
0.334 ± 0.1263
Mean absolute error
0.291 ± 0.0554
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7053 ± 0.0525
Per class
Predictive accuracy
0.7096 ± 0.0555
Prior entropy
0.9331 ± 0.0046
Recall
0.7096 ± 0.0555
Per class
Relative absolute error
0.6402 ± 0.1214
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5381 ± 0.0529
Root relative squared error
1.1289 ± 0.1102
SciMark benchmark
947.0414