Run
297060

Run 297060

Task 88 (Learning Curve) credit-approval 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
0.8554 ± 0.0392
Per class
F measure
0.8556 ± 0.0388
Per class
Kappa
0.7082 ± 0.0781
KB relative information score
0.7056 ± 0.079
Mean absolute error
0.1446 ± 0.0388
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8563 ± 0.0385
Per class
Predictive accuracy
0.8554 ± 0.0388
Prior entropy
0.9912 ± 0.0021
Recall
0.8554 ± 0.0388
Per class
Relative absolute error
0.2928 ± 0.0785
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3803 ± 0.0512
Root relative squared error
0.7653 ± 0.103
SciMark benchmark
1358.6902
UserCPU time millis
390
UserCPU time millis training
390