OpenML
83438

Run 83438

Task 270 (Supervised Classification) glass Uploaded 02-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_SMO_PolyKernel(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(2)_I160
weka.Bagging_SMO_PolyKernel(2)_P100
weka.Bagging_SMO_PolyKernel(2)_S1
weka.Bagging_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(2)_num-slots1
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

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.

21 Evaluation measures

Area under ROC curve
0.7715
Per class
Cross-validation details (33% Holdout set)
Build CPU time
7.567
Cross-validation details (33% Holdout set)
Build memory
2704610232
Cross-validation details (33% Holdout set)
F measure
0.4176
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2421
Cross-validation details (33% Holdout set)
KB relative information score
8.8708
Cross-validation details (33% Holdout set)
Mean absolute error
0.2162
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2127
Cross-validation details (33% Holdout set)
Number of instances
70
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3905
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4857
Cross-validation details (33% Holdout set)
Prior entropy
2.2315
Cross-validation details (33% Holdout set)
Recall
0.4857
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0168
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3261
Cross-validation details (33% Holdout set)
Root mean squared error
0.3195
Cross-validation details (33% Holdout set)
Root relative squared error
0.9798
Cross-validation details (33% Holdout set)
SciMark benchmark
949.2096