DEVELOPMENT... OpenML
Run
64466

Run 64466

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 17-11-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I160
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_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.

21 Evaluation measures

Area under ROC curve
0.9316
Per class
Build CPU time
0.0373
Build memory
2643584708.7673
F measure
0.8547
Per class
Kappa
0.6736
KB relative information score
443.9828
Mean absolute error
0.2123
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8725
Per class
Predictive accuracy
0.8619
Prior entropy
0.9348
Recall
0.8619
Per class
Relative absolute error
0.4663
Root mean prior squared error
0.4771
Root mean squared error
0.3177
Root relative squared error
0.6659
SciMark benchmark
821.7292