Run
553377

Run 553377

Task 3756 (Supervised Classification) visualizing_hamster Uploaded 09-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_15 study_20 weka weka_3.7.13
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_DecisionStump(14)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_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I100
weka.AdaBoostM1_DecisionStump(14)_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
0.6871
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6853
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3657
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22.4724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3476
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Number of instances
73
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.6859
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6849
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9937
Cross-validation details (10-fold Crossvalidation)
Recall
0.6849
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7014
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5137
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0322
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)