Run
648

Run 648

Task 83 (Learning Curve) mushroom Uploaded 07-04-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9847 ± 0.0038
Per class
F measure
0.9852 ± 0.0037
Per class
Kappa
0.9704 ± 0.0073
KB relative information score
0.9704 ± 0.0073
Mean absolute error
0.0148 ± 0.0037
Mean prior absolute error
0.4994 ± 0
Number of instances
81240
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9856 ± 0.0035
Per class
Predictive accuracy
0.9852 ± 0.0037
Prior entropy
0.9991 ± 0
Recall
0.9852 ± 0.0037
Per class
Relative absolute error
0.0296 ± 0.0073
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1215 ± 0.0156
Root relative squared error
0.2432 ± 0.0311
SciMark benchmark
880.3805