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The confusion matrix for pre trained networks

The confusion matrix for pre trained networks XVEGP

The confusion matrix consists of true positive (TP), true negative (TN), false positive (FP), and false negatives (FN). TP represents samples where the actual and estimated value is 1. TN specifies samples where the actual and estimated value is 0. FP shows the samples where the actual value is 0 but the estimation model produces the value of 1. FN are samples where the actual value is 1 but the model’s estimate is the value of 0

The confusion matrix consists of true This phrase/word is too simple and can be replaced with:beneficial
positive
 (TP), true This phrase/word is too simple and can be replaced with:adverse
negative
 (TN), false This phrase/word is too simple and can be replaced with:beneficial
positive
 (FP), and false negatives (FN). TP represents

samples where the You use this word too often, consider replacing it withcertainsubstantialdefinitephysicalsubstantive
actual
 and estimated You use this word too often, consider replacing it withprofitpricerateamountcostexpense
value
 is 1. TN specifies

samples where the You use this word too often, consider replacing it withcertainsubstantialdefinitephysicalsubstantive
actual
 and estimated You use this word too often, consider replacing it withprofitpricerateamountcostexpense
value
 is 0. FP This phrase/word (depending on the context) can be potentially replaced with :demonstratesportraysindicatesdisplays
shows
 the

samples where the You use this word too often, consider replacing it withcertainsubstantialdefinitephysicalsubstantive
actual
You use this word too often, consider replacing it withprofitpricerateamountcostexpense
value
 is 0 This phrase/word is too simple and can be replaced with:on the contrary
but
 the estimation model produces the You use this word too often, consider replacing it withprofitpricerateamountcostexpense
value
 of 1. FN are samples where the You use this word too often, consider replacing it withcertainsubstantialdefinitephysicalsubstantive
actual
You use this word too often, consider replacing it withprofitpricerateamountcostexpense
value
 is 1

This phrase/word is too simple and can be replaced with:on the contrary
but
 the model’s estimate is the You use this word too often, consider replacing it withprofitpricerateamountcostexpense
value
 of 0