Run
504312

Run 504312

Task 10052 (Learning Curve) hiva_agnostic Uploaded 31-12-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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
0.7034 ± 0.0712
Per class
F measure
0.9441 ± 0.0052
Per class
Kappa
0.2395 ± 0.0607
KB relative information score
-2481.7708 ± 81.4293
Mean absolute error
0.0632 ± 0.0077
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.9487 ± 0.0056
Per class
Predictive accuracy
0.9399 ± 0.0085
Prior entropy
0.221
Recall
0.9399 ± 0.0085
Per class
Relative absolute error
0.9269 ± 0.1156
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.2322 ± 0.0158
Root relative squared error
1.2594 ± 0.0874
SciMark benchmark
1154.5084
UserCPU time millis
3547850
UserCPU time millis testing
80510
UserCPU time millis training
3467340