Weka class attribute suggestionMaking fake result in data mining using weka j48 algorithmWhat does the “numDecimalPlaces” in J48 classifier do in WEKA?How to use a predfined separate prune set in Weka (alternatives in R or Python also acceptable)Is it acceptable to select a random child node when using a Decision Tree (trained via ID3) to predict if an unknown attribute value is encounteredSimple Weka classification example in Java gives inconsistent answersIs it better to have binary features rather than class ones'DecisionTreeClassifier' object has no attribute 'importances_'WEKA Random Forest J48 Attribute ImportanceDesicision tree classification with a “false” attributeHow to extract the sample split (values) of decision tree leaves ( terminal nodes) applying h2o library
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Weka class attribute suggestion
Making fake result in data mining using weka j48 algorithmWhat does the “numDecimalPlaces” in J48 classifier do in WEKA?How to use a predfined separate prune set in Weka (alternatives in R or Python also acceptable)Is it acceptable to select a random child node when using a Decision Tree (trained via ID3) to predict if an unknown attribute value is encounteredSimple Weka classification example in Java gives inconsistent answersIs it better to have binary features rather than class ones'DecisionTreeClassifier' object has no attribute 'importances_'WEKA Random Forest J48 Attribute ImportanceDesicision tree classification with a “false” attributeHow to extract the sample split (values) of decision tree leaves ( terminal nodes) applying h2o library
$begingroup$
We are trying to run J48 on a classified data set. Our class attribute has two possible values ( 0,1) when running J48 the tree terminates at the very first node and doesnt process any further.
Instead of considering (0- false) as the starting point of J48. How can we consider running J48 by selecting (1-true) as the starting point of the tree?
Any suggestion will be greatly appreciated.
decision-trees
asked Jul 2 '15 at 13:16
user10456user10456
42
$endgroup$
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
We are trying to run J48 on a classified data set. Our class attribute has two possible values ( 0,1) when running J48 the tree terminates at the very first node and doesnt process any further.
Instead of considering (0- false) as the starting point of J48. How can we consider running J48 by selecting (1-true) as the starting point of the tree?
Any suggestion will be greatly appreciated.
decision-trees
asked Jul 2 '15 at 13:16
user10456user10456
42
$endgroup$
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
1
$begingroup$
This might occur if J48 decides it cannot find meaningful nodes. What is the a priori distribution of the classes and how high is your confidence parameter (C)?
$endgroup$
– S van Balen
Jan 4 '17 at 13:51
add a comment |
$begingroup$
We are trying to run J48 on a classified data set. Our class attribute has two possible values ( 0,1) when running J48 the tree terminates at the very first node and doesnt process any further.
Instead of considering (0- false) as the starting point of J48. How can we consider running J48 by selecting (1-true) as the starting point of the tree?
Any suggestion will be greatly appreciated.
decision-trees
asked Jul 2 '15 at 13:16
user10456user10456
42
$endgroup$
We are trying to run J48 on a classified data set. Our class attribute has two possible values ( 0,1) when running J48 the tree terminates at the very first node and doesnt process any further.
Instead of considering (0- false) as the starting point of J48. How can we consider running J48 by selecting (1-true) as the starting point of the tree?
Any suggestion will be greatly appreciated.
decision-trees
decision-trees
asked Jul 2 '15 at 13:16
user10456user10456
42
asked Jul 2 '15 at 13:16
user10456user10456
42
asked Jul 2 '15 at 13:16
user10456user10456
42
asked Jul 2 '15 at 13:16
user10456user10456
42
asked Jul 2 '15 at 13:16
user10456user10456
42
42
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
1
$begingroup$
This might occur if J48 decides it cannot find meaningful nodes. What is the a priori distribution of the classes and how high is your confidence parameter (C)?
$endgroup$
– S van Balen
Jan 4 '17 at 13:51
add a comment |
1
$begingroup$
This might occur if J48 decides it cannot find meaningful nodes. What is the a priori distribution of the classes and how high is your confidence parameter (C)?
$endgroup$
– S van Balen
Jan 4 '17 at 13:51
1
1
$begingroup$
This might occur if J48 decides it cannot find meaningful nodes. What is the a priori distribution of the classes and how high is your confidence parameter (C)?
$endgroup$
– S van Balen
Jan 4 '17 at 13:51
$begingroup$
This might occur if J48 decides it cannot find meaningful nodes. What is the a priori distribution of the classes and how high is your confidence parameter (C)?
$endgroup$
– S van Balen
Jan 4 '17 at 13:51
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
I am assuming that you have only 1 attribute (numeric).
What you can do is
- modify the .arff file and set 0s to 1 and 1s to 0.
- Then you can again run j48 classifier and visualise the decision tree.
It would give you inverted result.
Also, try watching this video.WEKA on MOOC
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
$endgroup$
add a comment |
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$begingroup$
I am assuming that you have only 1 attribute (numeric).
What you can do is
- modify the .arff file and set 0s to 1 and 1s to 0.
- Then you can again run j48 classifier and visualise the decision tree.
It would give you inverted result.
Also, try watching this video.WEKA on MOOC
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
$endgroup$
add a comment |
$begingroup$
I am assuming that you have only 1 attribute (numeric).
What you can do is
- modify the .arff file and set 0s to 1 and 1s to 0.
- Then you can again run j48 classifier and visualise the decision tree.
It would give you inverted result.
Also, try watching this video.WEKA on MOOC
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
$endgroup$
add a comment |
$begingroup$
I am assuming that you have only 1 attribute (numeric).
What you can do is
- modify the .arff file and set 0s to 1 and 1s to 0.
- Then you can again run j48 classifier and visualise the decision tree.
It would give you inverted result.
Also, try watching this video.WEKA on MOOC
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
$endgroup$
I am assuming that you have only 1 attribute (numeric).
What you can do is
- modify the .arff file and set 0s to 1 and 1s to 0.
- Then you can again run j48 classifier and visualise the decision tree.
It would give you inverted result.
Also, try watching this video.WEKA on MOOC
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
answered Jul 22 '15 at 18:14
ABcDexterABcDexter
1196
1196
add a comment |
add a comment |
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$begingroup$
This might occur if J48 decides it cannot find meaningful nodes. What is the a priori distribution of the classes and how high is your confidence parameter (C)?
$endgroup$
– S van Balen
Jan 4 '17 at 13:51