Run
2067

Run 2067

Task 2098 (Learning Curve) abalone Uploaded 24-04-2014 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.REPTree(1)Weka implementation of REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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.

17 Evaluation measures

Area under ROC curve
0.7143 ± 0.0124
Per class
Kappa
0.1537 ± 0.0232
KB relative information score
0.2543 ± 0.0074
Mean absolute error
0.0557 ± 0.0003
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Predictive accuracy
0.2557 ± 0.0187
Prior entropy
3.6031 ± 0.0188
Recall
0.2557 ± 0.0187
Per class
Relative absolute error
0.9008 ± 0.0054
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1733 ± 0.0019
Root relative squared error
0.986 ± 0.0111
SciMark benchmark
887.1301