DEVELOPMENT... OpenML
Run
124579

Run 124579

Task 58 (Supervised Classification) waveform-5000 Uploaded 24-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_LWL_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LWL_DecisionStump(2)_I10
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
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
0.8883
Per class
Build CPU time
1857.7335
Build memory
53958072
F measure
0.7131
Per class
Kappa
0.5669
KB relative information score
1949.2999
Mean absolute error
0.3121
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7304
Per class
Predictive accuracy
0.7116
Prior entropy
1.5849
Recall
0.7116
Per class
Relative absolute error
0.7023
Root mean prior squared error
0.4714
Root mean squared error
0.3675
Root relative squared error
0.7796
SciMark benchmark
872.1114