Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. |
1 |
1 |
Decision |
NN |
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). |
1 |
1 |
Cluster |
NN |
Association rule learning is a method for discovering interesting relations between variables in large databases. |
1 |
1 |
Association |
NNP |
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. |
1 |
1 |
In statistics, simple |
JJ |
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). |
1 |
1 |
Logistic |
JJ |
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). |
1 |
2 |
analysis or clustering is |
VBZ |
Association rule learning is a method for discovering interesting relations between variables in large databases. |
1 |
2 |
rule |
NN |
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. |
1 |
2 |
linear |
NN |
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). |
1 |
2 |
regression |
NN |
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. |
1 |
2 |
tree |
NN |
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. |
1 |
3 |
regression is |
VBZ |
Association rule learning is a method for discovering interesting relations between variables in large databases. |
1 |
3 |
learning |
NN |
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). |
1 |
3 |
the |
DT |
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). |
1 |
3 |
was |
VBD |
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. |
1 |
3 |
learning |
NN |
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. |
1 |
4 |
the least |
JJ |
Association rule learning is a method for discovering interesting relations between variables in large databases. |
1 |
4 |
is |
VBZ |
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). |
1 |
4 |
task |
NN |
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. |
1 |
4 |
uses |
VBZ |
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). |
1 |
4 |
developed |
VBN |
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. |
1 |
5 |
squares estimator |
NN |
Association rule learning is a method for discovering interesting relations between variables in large databases. |
1 |
5 |
a |
DT |
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). |
1 |
5 |
of |
IN |
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). |
1 |
5 |
by |
IN |
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. |
1 |
5 |
a |
DT |