Run
1841639

Run 1841639

Task 125968 (Supervised Classification) SpeedDating Uploaded 30-11-2016 by George Park
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Flow

weka.CostSensitiveClassifier_Bagging_RandomTree(1)Weka implementation of CostSensitiveClassifier
weka.RandomTree(11)_K10
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.RandomTree(11)_depth5
weka.RandomTree(11)_num-decimal-places6
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_Mtrue
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_S1
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_num-decimal-places6
weka.Bagging_RandomTree(9)_P100
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots1
weka.Bagging_RandomTree(9)_I25
weka.Bagging_RandomTree(9)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(9)_num-decimal-places6

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.

17 Evaluation measures

Area under ROC curve
0.5243
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.8162
Cross-validation details (10-fold Crossvalidation)
F measure
0.1299
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0166
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-21056.2059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.7928
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8544
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2072
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.2072
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.8805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.8904
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.4005
Cross-validation details (10-fold Crossvalidation)
Total cost
6838
Cross-validation details (10-fold Crossvalidation)