Run
161738

Run 161738

Task 1722 (Learning Curve) cmc Uploaded 16-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12
Issue #Downvotes for this reason By


Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.5648 ± 0.0159
Per class
F measure
0.4357 ± 0.0191
Per class
Kappa
0.1284 ± 0.0309
KB relative information score
0.1927 ± 0.0282
Mean absolute error
0.377 ± 0.0133
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.4372 ± 0.0197
Per class
Predictive accuracy
0.4345 ± 0.0199
Prior entropy
1.539 ± 0.0029
Recall
0.4345 ± 0.0199
Per class
Relative absolute error
0.8751 ± 0.0311
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.614 ± 0.0108
Root relative squared error
1.323 ± 0.0237
SciMark benchmark
1060.8407
UserCPU time millis
580
UserCPU time millis testing
580