Run
2368253

Run 2368253

Task 18 (Supervised Classification) mfeat-morphological Uploaded 31-05-2017 by Miguel Cachada
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Flow

weka.Bagging_LWL_DecisionStump(4)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(4)_P100
weka.Bagging_LWL_DecisionStump(4)_S1
weka.Bagging_LWL_DecisionStump(4)_num-slots1
weka.Bagging_LWL_DecisionStump(4)_I10
weka.Bagging_LWL_DecisionStump(4)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(6)_Atrue
weka.LWL_DecisionStump(6)_K-1
weka.LWL_DecisionStump(6)_U0
weka.LWL_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump

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
0.9342 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6674 ± 0.0241
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6461 ± 0.0214
Cross-validation details (10-fold Crossvalidation)
KB relative information score
772.5833 ± 1.6213
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1498 ± 0.0011
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_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.68 ± 0.0359
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6815 ± 0.0193
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.6815 ± 0.0193
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8323 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2661 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8868 ± 0.0056
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1603.4158
UserCPU time millis
68020
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
68020
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)