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A true negative (tn) is, by definition, everything that is not birth year recognized as not birth year. Thanks walter for your comments. Tp+fp+tn+fn = 94135.1205 the total sum is now reduced further by 45574. I'm using python's telnetlib to telnet to some machine and executing few commands and i want to get the output of these commands. 15 i am using sklearn.metrics.confusion_matrix(y_actual, y_predict) to extract tn, fp, fn, tp and most of the time it works perfectly.

Tn.write('exit\n') btw, telnetnetlib can be tricky and things varies depending on your ftp server and environment setup. How do i actually run a file on localhost? Tp+fp+tn+fn = 94135.1205 the total sum is now reduced further by 45574. A true negative (tn) is, by definition, everything that is not birth year recognized as not birth year.

Shouldn't The Total Sum Be The Same?

Weka gives me tp rate for each of the class so is that the same value which comes from confusion matrix? How do i actually run a file on localhost? Tp+fp+tn+fn = 94135.1205 the total sum is now reduced further by 45574. I can aggregate these values into total number of tp, tn, fp, fn.

When I Display Only 8 Columns, Everything Works Fine.

Please look at my problem below: If not then why does it. Tn.write('exit\n') btw, telnetnetlib can be tricky and things varies depending on your ftp server and environment setup. You might be better off looking into something like pexpect.

Same Is True For Epochs Lower Down The Order.

A true negative (tn) is, by definition, everything that is not birth year recognized as not birth year. Thanks walter for your comments. However, i would like to display a confusion matrix similar to the one generated by using the folowing: I'm using python's telnetlib to telnet to some machine and executing few commands and i want to get the output of these commands.

That's What I Want To Know.

Server newbie here, additional que. 15 i am using sklearn.metrics.confusion_matrix(y_actual, y_predict) to extract tn, fp, fn, tp and most of the time it works perfectly. I know it is working, but how do i run a file on it, and how do i verify that the file is in fact running on localhost? In the context, every token/word different from 2000.

I know it is working, but how do i run a file on it, and how do i verify that the file is in fact running on localhost? However, i would like to display a confusion matrix similar to the one generated by using the folowing: I'm using python's telnetlib to telnet to some machine and executing few commands and i want to get the output of these commands. Shouldn't the total sum be the same? 15 i am using sklearn.metrics.confusion_matrix(y_actual, y_predict) to extract tn, fp, fn, tp and most of the time it works perfectly.