1. Performance
  2. Models
  3. Autoscale
  4. Users
  5. Log Out

Exploration

  1. Exploration/Active Model %
  2. Last Day eCPC
    $1.25

Live Model Management

  1. Model
  2. Status
  3. Date & Time Started Training
  4. MSE (CTR) / MSE (Model)
  1. Train -2
  2. Train -1
  3. Train
  1. Model_DD_MM_YY_HH_MM
  2. Active (eCPC - $1.23)
  3. 10.12.2013 - 18:42
    1. 82%
    2. 78%
    3. 80%
    4. Deactivate
  1. Training_DD_MM_YY_HH_MM
  2. Training completed - Bad
  3. 10.12.2013 - 18:42
    1. 95%
    2. 86%
    3. 80%
    4. Activate
  1. No Training Model
Train New Model

Model Archive

  1. Trained on
  2. Name
  3. MSE (CTR) /
    MSE (Model)
  4. Model
    eCPC
  5. Exploration
    eCPC
  6. Trained on
    Samples/Clicks/Installs
  1. 10.12.2013 - 18:42
  2. Model_DD_MM_YY_HH_MM
  3. 86
  4. $1.2
  5. $1.2
  6. 10000 / 32983459 / 3789
  7. Activate
  1. 10.12.2013 - 18:42
  2. Model_DD_MM_YY_HH_MM
  3. 86
  4. $1.2
  5. $1.2
  6. 10000 / 32983459 / 3789
  7. Activate
  1. 10.12.2013 - 18:42
  2. Model_DD_MM_YY_HH_MM
  3. 86
  4. $1.2
  5. $1.2
  6. 10000 / 32983459 / 3789
  7. Activate

Model Comparison

  1. Feature
  2. Trained/
  3. Current/
  1. MSE (CTR) / MSE (Model)
  2. X%
  3. X%
  4. X%
  1. eCPC
  2. $1.2
  3. $2.3
  4. $2.3
  1. Trained on Samples/Clicks/Installs
  2. 10000 / 32983459 / 3789
  3. 10000 / 32983459 / 3789
  4. 10000 / 32983459 / 3789
  1. Feature #1 (Country)
  2. 0.02
  3. 0.17
  4. 0.17
  1. Feature #2 (Device)
  2. 0.02
  3. 0.17
  4. 0.17
  1. Feature #3
  2. 0.02
  3. 0.17
  4. 0.17
  1. Feature N
  2. 0.02
  3. 0.17
  4. 0.17