Run
503123

Run 503123

Task 10066 (Learning Curve) letter-challenge-unlabeled.arff Uploaded 24-12-2015 by Joaquin Vanschoren
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Flow

weka.KernelLogisticRegression_PolyKernel(4)Weka implementation of KernelLogisticRegression
weka.PolyKernel(9)_E1.0
weka.PolyKernel(9)_C250007
weka.KernelLogisticRegression_PolyKernel(4)_S1
weka.KernelLogisticRegression_PolyKernel(4)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.KernelLogisticRegression_PolyKernel(4)_L0.01
weka.KernelLogisticRegression_PolyKernel(4)_P1
weka.KernelLogisticRegression_PolyKernel(4)_E1

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
0.6926 ± 0.0098
Per class
F measure
0.7826 ± 0.0131
Per class
Kappa
0.4444 ± 0.0374
KB relative information score
3083.7778 ± 15.388
Mean absolute error
0.2699 ± 0.0041
Mean prior absolute error
0.3997 ± 0.0027
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.7801 ± 0.0136
Per class
Predictive accuracy
0.7883 ± 0.0124
Prior entropy
0.85
Recall
0.7883 ± 0.0124
Per class
Relative absolute error
0.6753 ± 0.014
Root mean prior squared error
0.447 ± 0.0031
Root mean squared error
0.37 ± 0.0055
Root relative squared error
0.8277 ± 0.0157
SciMark benchmark
1080.209
UserCPU time millis
198970
UserCPU time millis testing
11490
UserCPU time millis training
187480