Run
297161

Run 297161

Task 71 (Learning Curve) mfeat-factors Uploaded 17-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

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
0.9531 ± 0.0048
Per class
F measure
0.9206 ± 0.0181
Per class
Kappa
0.9107 ± 0.0205
KB relative information score
0.0556 ± 0.0011
Mean absolute error
0.1772 ± 0.0001
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9251 ± 0.0158
Per class
Predictive accuracy
0.9197 ± 0.0185
Prior entropy
3.3219
Recall
0.9197 ± 0.0185
Per class
Relative absolute error
0.9847 ± 0.0003
Root mean prior squared error
0.3
Root mean squared error
0.2956 ± 0.0001
Root relative squared error
0.9852 ± 0.0003
SciMark benchmark
1342.2505
UserCPU time millis
40
UserCPU time millis testing
30
UserCPU time millis training
10