Run
579901

Run 579901

Task 20 (Supervised Classification) mfeat-pixel Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_REPTree(17)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Bagging_REPTree(17)_P100
weka.Bagging_REPTree(17)_S1
weka.Bagging_REPTree(17)_num-slots1
weka.Bagging_REPTree(17)_I10
weka.Bagging_REPTree(17)_Wweka.classifiers.trees.REPTree

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
0.9738
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8456
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8283
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1535.704
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0639
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8463
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8455
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8455
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.355
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1605
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.535
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1429.0901
UserCPU time millis
1360
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
1350
Cross-validation details (10-fold Crossvalidation)