Run
305507

Run 305507

Task 79 (Learning Curve) mfeat-pixel Uploaded 18-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.HNB(6)H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.

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
0.9881 ± 0.0054
Per class
F measure
0.9594 ± 0.013
Per class
Kappa
0.9549 ± 0.0144
KB relative information score
0.9584 ± 0.0132
Mean absolute error
0.0082 ± 0.0025
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
0.9598 ± 0.0124
Per class
Predictive accuracy
0.9594 ± 0.013
Prior entropy
3.3219
Recall
0.9594 ± 0.013
Per class
Relative absolute error
0.0455 ± 0.0141
Root mean prior squared error
0.3
Root mean squared error
0.0878 ± 0.0151
Root relative squared error
0.2928 ± 0.0502
SciMark benchmark
1335.2676
UserCPU time millis
39800
UserCPU time millis testing
37820
UserCPU time millis training
1980