Run
297072

Run 297072

Task 96 (Learning Curve) diabetes Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.CHIRP(1)Leland Wilkinson, Anushka Anand,, Tuan Dang : CHIRP: A new classi?er based on Composite Hypercubes on Iterated Random Projection. In: Proceedings of the 17th ACM KDD, 2011.
weka.CHIRP(1)_V7
weka.CHIRP(1)_S1

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.

22 Evaluation measures

Area under ROC curve
0.7093 ± 0.0506
Per class
F measure
0.7476 ± 0.0452
Per class
Kappa
0.4357 ± 0.1018
KB relative information score
0.4357 ± 0.0984
Mean absolute error
0.2464 ± 0.0431
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7473 ± 0.0469
Per class
Predictive accuracy
0.7536 ± 0.0431
Prior entropy
0.9331 ± 0.0044
Recall
0.7536 ± 0.0431
Per class
Relative absolute error
0.542 ± 0.0946
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4963 ± 0.0435
Root relative squared error
1.0413 ± 0.091
SciMark benchmark
1334.8658
UserCPU time millis
370
UserCPU time millis training
370