Run
23351

Run 23351

Task 2072 (Supervised Classification) covertype Uploaded 24-06-2014 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_DecisionStump(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(1)_I40
weka.Bagging_DecisionStump(1)_P100
weka.Bagging_DecisionStump(1)_S1
weka.Bagging_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5943
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3136
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0234
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17915.9544
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1733
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1853
Cross-validation details (10-fold Crossvalidation)
Number of instances
110393
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
0.2464
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4691
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.8698
Cross-validation details (10-fold Crossvalidation)
Recall
0.4691
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9355
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3044
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2943
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9669
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
914.9035[536.3593843019218975.9205194753308468.4737826265757884.42645472616971709.3375422359702]