DEVELOPMENT... OpenML
Run
157699

Run 157699

Task 1723 (Learning Curve) mushroom Uploaded 12-02-2015 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12
Issue #Downvotes for this reason By


Flow

weka.HoeffdingTree(3)Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
weka.HoeffdingTree(3)_L2
weka.HoeffdingTree(3)_S1
weka.HoeffdingTree(3)_E1.0E-7
weka.HoeffdingTree(3)_H0.05
weka.HoeffdingTree(3)_M0.01
weka.HoeffdingTree(3)_G200.0
weka.HoeffdingTree(3)_N0.0

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
0.9977 ± 0.0076
Per class
F measure
0.9905 ± 0.0075
Per class
Kappa
0.981 ± 0.015
KB relative information score
0.9721 ± 0.0232
Mean absolute error
0.0155 ± 0.0132
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9906 ± 0.0072
Per class
Predictive accuracy
0.9905 ± 0.0075
Prior entropy
0.9991 ± 0.0001
Recall
0.9905 ± 0.0075
Per class
Relative absolute error
0.031 ± 0.0265
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0928 ± 0.0398
Root relative squared error
0.1857 ± 0.0797
SciMark benchmark
642.8724
UserCPU time millis
140
UserCPU time millis testing
70
UserCPU time millis training
70