Run
147272

Run 147272

Task 3825 (Supervised Classification) mfeat-morphological Uploaded 02-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_IBk(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_IBk(2)_I40
weka.Bagging_IBk(2)_P100
weka.Bagging_IBk(2)_S1
weka.Bagging_IBk(2)_Wweka.classifiers.lazy.IBk
weka.Bagging_IBk(2)_num-slots1
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9985
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9916
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1961.0872
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9985
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9985
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10-fold Crossvalidation)
Recall
0.9985
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0126
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0399
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1329
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
901.0726
UserCPU time millis
17080
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
17060
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)