DEVELOPMENT... OpenML
Run
155449

Run 155449

Task 1727 (Learning Curve) optdigits Uploaded 11-02-2015 by Jason
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.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.9815 ± 0.0036
Per class
F measure
0.8982 ± 0.0146
Per class
Kappa
0.8869 ± 0.0161
KB relative information score
0.8664 ± 0.0146
Mean absolute error
0.0308 ± 0.0028
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8988 ± 0.0142
Per class
Predictive accuracy
0.8982 ± 0.0145
Prior entropy
3.3218 ± 0.0001
Recall
0.8982 ± 0.0145
Per class
Relative absolute error
0.1713 ± 0.0154
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1285 ± 0.007
Root relative squared error
0.4282 ± 0.0234
SciMark benchmark
642.8724
UserCPU time millis
492140
UserCPU time millis testing
7280
UserCPU time millis training
484860