### Table 1: Test results for instance-based learning

1997

Cited by 4

### Table 2. Estimated cross-validation error for instance-based learning.

1994

"... In PAGE 36: ... For linear regression: (189) Table 1 shows the estimated expected cross-validation error for linear regression, as a function of the level of noise . For instance-based learning: (190) Table2 shows the estimated expected cross-validation error for instance-based learning. If we can estimate the level of noise in our data, then we can use Tables 1 and 2 to find the model with minimal expected cross-validation error .... In PAGE 48: ...2875 2 0.2875 + 2 Table2 . Estimated cross-validation error for instance-based learning.... ..."

Cited by 4

### Table 2. Estimated cross-validation error for instance-based learning.

1994

"... In PAGE 36: ... For linear regression: (189) Table 1 shows the estimated expected cross-validation error for linear regression, as a function of the level of noise . For instance-based learning: (190) Table2 shows the estimated expected cross-validation error for instance-based learning. If we can estimate the level of noise in our data, then we can use Tables 1 and 2 to find the model with minimal expected cross-validation error .... In PAGE 37: ...2875 2 0.2875 + 2 Table2 . Estimated cross-validation error for instance-based learning.... ..."

Cited by 4

### Table 2. Estimated cross-validation error for instance-based learning.

1

"... In PAGE 36: ... For linear regression: (189) Table 1 shows the estimated expected cross-validation error for linear regression, as a function of the level of noise . For instance-based learning: (190) Table2 shows the estimated expected cross-validation error for instance-based learning. If we can estimate the level of noise in our data, then we can use Tables 1 and 2 to find the model with minimal expected cross-validation error .... In PAGE 48: ...2875 2 0.2875 + 2 Table2 . Estimated cross-validation error for instance-based learning.... ..."

### Table 2. Estimated cross-validation error for instance-based learning.

1

"... In PAGE 36: ... For linear regression: (189) Table 1 shows the estimated expected cross-validation error for linear regression, as a function of the level of noise . For instance-based learning: (190) Table2 shows the estimated expected cross-validation error for instance-based learning. If we can estimate the level of noise in our data, then we can use Tables 1 and 2 to find the model with minimal expected cross-validation error .... In PAGE 37: ...2875 2 0.2875 + 2 Table2 . Estimated cross-validation error for instance-based learning.... ..."

### Table 1 shows the estimated expected cross-validation error for linear regression, as a function of the level of noise . For instance-based learning:

1994

"... In PAGE 36: ...1491 + 6 0.0000 8 8 Table1 . Estimated cross-validation error for linear regression.... In PAGE 47: ...1491 + 6 0.0000 8 8 Table1 . Estimated cross-validation error for linear regression.... ..."

Cited by 4

### Table 1 shows the estimated expected cross-validation error for linear regression, as a function of the level of noise . For instance-based learning:

1

"... In PAGE 36: ...1491 + 6 0.0000 8 8 Table1 . Estimated cross-validation error for linear regression.... In PAGE 47: ...1491 + 6 0.0000 8 8 Table1 . Estimated cross-validation error for linear regression.... ..."

### Table 1. The best instance based learning parameters found by our genetic algorithm searches.

2002

"... In PAGE 4: ... Lomax had a large number of jobs submitted in June so we only used the first week of data from June and evaluated the parameters using the accuracy of the predictions in this week of data. The best parameters we found are shown in Table1 . The two obvious trends are that the number of nearest neighbors is relatively small and the feature weight for the number of CPUs is relatively high.... ..."

Cited by 2

### Table 2 shows the estimated expected cross-validation error for instance-based learning. If we can estimate the level of noise in our data, then we can use Tables 1 and 2 to find

1

"... In PAGE 37: ...2875 2 0.2875 + 2 Table2 . Estimated cross-validation error for instance-based learning.... In PAGE 48: ...2875 2 0.2875 + 2 Table2 . Estimated cross-validation error for instance-based learning.... ..."