training data

  1. M

    Leave-one-out error strictly decreasing when number of parameters is increased, when it should not be?

    People may or may not be able to help intuitively shed light on my problem. Maybe I haven't considered some aspects. I'm running a non-parametric (kernel) regularized least squares estimation on some binary training data to then predict probabilistic values for the non-training data. I have 9...
  2. L

    Don't understand the meaning of ''training a dataset''

    Hi, I have a set of data. Those data are based on data mining from my website. I have the number of users per month who go to my website ( X ) , and the time they spent on the website on each webpage ( y ) . Now with this dataset as an example, could you...
  3. P

    How to select the training dataset

    I have a dataset which contains dependent variance Y and several independent variances X1, ... , X10. Y has 5 possible values: A, B, C, D, E, a proportion of each value is: A: 80%, B:10%, C:5%, D:3%, E:2%. I want to build a model to predict the value of Y, I decide to pick up 70% of the...
  4. M

    Predictive modeling challenge for SPSS experts.........!

    Urgent! Need Help to build best Model for the problem Hi, I have a raw attribute data for 430 restaurants. Training Data: The set contains information about 430 restaurants. The target variable for every row is the aggregated weekly footfall named ‘Total’. I need to build their model...
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    Model building using Training data and predoction of Target set with test data

    URGENT ! need help to build the Predictiive Model Hi, Need some help to solve the problem using right s/w(SPSS or execl) and approach . I have a raw attribute data for 430 restaurants. Training Data: The set contains information about 430 restaurants. The target variable for every row...