Run
292881

Run 292881

Task 75 (Learning Curve) mfeat-karhunen Uploaded 17-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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
0.9322 ± 0.0137
Per class
F measure
0.7839 ± 0.0292
Per class
Kappa
0.7599 ± 0.0316
KB relative information score
0.7512 ± 0.0257
Mean absolute error
0.0565 ± 0.0046
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
0.7841 ± 0.0292
Per class
Predictive accuracy
0.784 ± 0.0285
Prior entropy
3.3219
Recall
0.784 ± 0.0285
Per class
Relative absolute error
0.3142 ± 0.0257
Root mean prior squared error
0.3
Root mean squared error
0.1887 ± 0.0114
Root relative squared error
0.6289 ± 0.038
SciMark benchmark
1325.0379
UserCPU time millis
100
UserCPU time millis training
100