Run
292922

Run 292922

Task 87 (Learning Curve) optdigits Uploaded 17-03-2015 by Joaquin Vanschoren
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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
0.9696 ± 0.0058
Per class
F measure
0.8906 ± 0.0145
Per class
Kappa
0.8783 ± 0.0162
KB relative information score
0.8712 ± 0.0146
Mean absolute error
0.0301 ± 0.0029
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8908 ± 0.0144
Per class
Predictive accuracy
0.8905 ± 0.0146
Prior entropy
3.3218 ± 0.0001
Recall
0.8905 ± 0.0146
Per class
Relative absolute error
0.1671 ± 0.0163
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1369 ± 0.0088
Root relative squared error
0.4563 ± 0.0293
SciMark benchmark
1325.0379
UserCPU time millis
170
UserCPU time millis training
170