Run
6060489

Run 6060489

Task 2077 (Supervised Classification) baseball Uploaded 03-08-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_SMO_RBFKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_RBFKernel(8)_C0.663793762899448
weka.SMO_RBFKernel(8)_N1
weka.SMO_RBFKernel(8)_L0.001
weka.SMO_RBFKernel(8)_P1.0E-12
weka.SMO_RBFKernel(8)_Mtrue
weka.SMO_RBFKernel(8)_V-1
weka.SMO_RBFKernel(8)_W1
weka.SMO_RBFKernel(8)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(8)_calibratortrue
weka.RBFKernel(5)_G2.595621045784706E-4
weka.RBFKernel(5)_C250007
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Eweka.attributeSelection.CfsSubsetEval -M -L -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Sweka.attributeSelection.BestFirst -D 0 -N 9
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Wweka.classifiers.functions.SMO

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
0.9556
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9286
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5664
Cross-validation details (10-fold Crossvalidation)
KB relative information score
508.7483
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0629
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1164
Cross-validation details (10-fold Crossvalidation)
Number of instances
1340
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9253
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9351
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5456
Cross-validation details (10-fold Crossvalidation)
Recall
0.9351
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5401
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2405
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1776
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7386
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1204.1263
UserCPU time millis
300
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
270
Cross-validation details (10-fold Crossvalidation)