Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.5934  0.0037  0.0732  0.2427  0.1934  0.21
Anderszewski 2003   56  0.4417  0.0160  0.0466  0.0458  0.0380  0.03
Ashkenazy 1981   36  0.5158  0.0040  0.0631  0.2567  0.0443  0.10
Bacha 2000   16  0.5726  0.0032  0.0530  0.268  0.5714  0.38
Badura 1965   74  0.3865  0.0068  0.0550  0.0546  0.0660  0.05
Barbosa 1983   64  0.4146  0.0047  0.0555  0.0565  0.0468  0.04
Biret 1990   21  0.5535  0.0017  0.0912  0.4415  0.4711  0.45
Blet 2003   61  0.4261  0.0071  0.0465  0.0468  0.0469  0.04
Block 1995   39  0.5066  0.0044  0.0540  0.1728  0.2436  0.20
Blumental 1952   81  0.3130  0.0056  0.0459  0.0445  0.1052  0.06
Boshniakovich 1969   55  0.4462  0.0059  0.0460  0.0450  0.0572  0.04
Brailowsky 1960   20  0.5650  0.0033  0.0524  0.3422  0.3817  0.36
Bunin 1987   79  0.3474  0.0082  0.0381  0.0384  0.0385  0.03
Bunin 1987b   76  0.3423  0.0081  0.0382  0.0383  0.0378  0.03
Chiu 1999   60  0.4251  0.0025  0.0717  0.3726  0.4015  0.38
Cohen 1997   51  0.458  0.0312  0.1226  0.323  0.5612  0.42
Cortot 1951   72  0.3868  0.0077  0.0379  0.0370  0.0386  0.03
Csalog 1996   29  0.5263  0.0043  0.0642  0.1515  0.5029  0.27
Czerny 1949   46  0.4710  0.0219  0.0843  0.1533  0.2735  0.20
Czerny 1990   34  0.5178  0.0055  0.0464  0.0468  0.0473  0.04
Duchoud 2007   37  0.5069  0.0054  0.0462  0.0447  0.0659  0.05
Ezaki 2006   25  0.5320  0.0046  0.0747  0.0762  0.0453  0.05
Falvay 1989   1  0.701  0.421  0.411  0.722  0.751  0.73
Farrell 1958   32  0.5140  0.0058  0.0473  0.0438  0.1946  0.09
Ferenczy 1958   53  0.4431  0.0075  0.0474  0.0448  0.0758  0.05
Fliere 1977   43  0.4983  0.0048  0.0649  0.0668  0.0454  0.05
Fou 1978   7  0.6375  0.002  0.165  0.599  0.504  0.54
Francois 1956   14  0.587  0.0318  0.0820  0.3630  0.2725  0.31
Friedman 1923   91  -0.0884  0.0091  0.0191  0.0187  0.0291  0.01
Friedman 1923b   90  -0.0788  0.0090  0.0290  0.0288  0.0289  0.02
Friedman 1930   88  0.0089  0.0088  0.0289  0.0288  0.0190  0.01
Garcia 2007   83  0.1441  0.0084  0.0383  0.0378  0.0382  0.03
Garcia 2007b   84  0.0932  0.0085  0.0380  0.0366  0.0387  0.03
Gierzod 1998   49  0.4670  0.0051  0.0553  0.0566  0.0471  0.04
Gornostaeva 1994   17  0.5725  0.0027  0.0627  0.3224  0.3324  0.32
Groot 1988   6  0.6479  0.0011  0.1115  0.4130  0.2721  0.33
Harasiewicz 1955   47  0.4614  0.026  0.119  0.4631  0.2422  0.33
Hatto 1993   71  0.3844  0.0049  0.0554  0.0566  0.0474  0.04
Hatto 1997   63  0.4111  0.0242  0.0645  0.1254  0.0547  0.08
Horowitz 1949   26  0.5352  0.0022  0.0622  0.3623  0.3220  0.34
Indjic 1988   69  0.3985  0.0050  0.0746  0.0764  0.0457  0.05
Kapell 1951   38  0.5039  0.0064  0.0461  0.0484  0.0377  0.03
Kissin 1993   5  0.6636  0.005  0.246  0.5312  0.535  0.53
Kushner 1989   18  0.5776  0.0029  0.1025  0.3324  0.3123  0.32
Luisada 1991   30  0.529  0.0314  0.1116  0.3922  0.3416  0.36
Lushtak 2004   73  0.3890  0.0065  0.0384  0.0386  0.0384  0.03
Malcuzynski 1961   10  0.6391  0.0031  0.0533  0.2248  0.0542  0.10
Magaloff 1978   13  0.5938  0.0023  0.0719  0.3641  0.1432  0.22
Magin 1975   40  0.5053  0.0035  0.0637  0.2029  0.2333  0.21
Michalowski 1933   82  0.1824  0.0063  0.0477  0.0474  0.0466  0.04
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   19  0.5733  0.0038  0.0834  0.2244  0.1240  0.16
Moravec 1969   8  0.636  0.0413  0.117  0.476  0.536  0.50
Morozova 2008   44  0.4719  0.0026  0.0729  0.3124  0.2330  0.27
Neighaus 1950   23  0.5513  0.0224  0.0621  0.3647  0.0837  0.17
Niedzielski 1931   68  0.4057  0.0073  0.0472  0.0455  0.0564  0.04
Ohlsson 1999   22  0.5545  0.0041  0.0639  0.1837  0.1538  0.16
Osinska 1989   24  0.5512  0.0215  0.1013  0.4313  0.4710  0.45
Pachmann 1927   65  0.4048  0.0062  0.0457  0.0442  0.1251  0.07
Paderewski 1930   54  0.4456  0.0074  0.0471  0.0458  0.0465  0.04
Perlemuter 1992   67  0.4086  0.0066  0.0475  0.0463  0.0461  0.04
Pierdomenico 2008   62  0.4143  0.0020  0.0723  0.3410  0.4813  0.40
Poblocka 1999   41  0.5080  0.0070  0.0470  0.0480  0.0376  0.03
Rabcewiczowa 1932   59  0.4328  0.0057  0.0552  0.0540  0.1845  0.09
Rachmaninoff 1923   78  0.3459  0.0067  0.0463  0.0458  0.0463  0.04
Rangell 2001   11  0.6222  0.008  0.1311  0.447  0.528  0.48
Richter 1976   57  0.4454  0.0069  0.0648  0.0649  0.0556  0.05
Rosen 1989   35  0.5187  0.0045  0.0744  0.1346  0.0549  0.08
Rosenthal 1930   70  0.3964  0.0076  0.0378  0.0366  0.0483  0.03
Rosenthal 1931   58  0.4337  0.0034  0.0536  0.2017  0.4526  0.30
Rosenthal 1931b   66  0.4042  0.0036  0.0741  0.1619  0.3931  0.25
Rosenthal 1931c   52  0.4567  0.0061  0.0469  0.0450  0.0575  0.04
Rosenthal 1931d   48  0.4629  0.0030  0.0735  0.2111  0.4327  0.30
Rossi 2007   85  0.0777  0.0083  0.0385  0.0343  0.0855  0.05
Rubinstein 1939   28  0.522  0.097  0.1214  0.411  0.627  0.50
Rubinstein 1952   3  0.705  0.044  0.203  0.612  0.632  0.62
Rubinstein 1966   4  0.6615  0.019  0.144  0.595  0.643  0.61
Schilhawsky 1960   75  0.3421  0.0080  0.0468  0.0485  0.0381  0.03
Shebanova 2002   15  0.5760  0.0016  0.098  0.4616  0.469  0.46
Smith 1975   31  0.5227  0.0039  0.0838  0.2056  0.0444  0.09
Sokolov 2002   27  0.5316  0.0152  0.0458  0.0463  0.0462  0.04
Sztompka 1959   77  0.3471  0.0078  0.0476  0.0480  0.0379  0.03
Tomsic 1995   9  0.633  0.0710  0.1710  0.4525  0.2718  0.35
Uninsky 1932   80  0.3272  0.0079  0.0551  0.0571  0.0470  0.04
Uninsky 1971   50  0.4518  0.0072  0.0556  0.0578  0.0367  0.04
Wasowski 1980   45  0.4773  0.0053  0.0467  0.0428  0.2841  0.11
Zak 1937   42  0.5081  0.0028  0.0628  0.3132  0.2728  0.29
Zak 1951   33  0.5182  0.0021  0.0518  0.3628  0.3219  0.34
Average   2  0.704  0.053  0.162  0.6466  0.0439  0.16
Random 1   89  -0.0247  0.0087  0.0287  0.0217  0.3150  0.08
Random 2   86  0.0355  0.0086  0.0286  0.0214  0.3548  0.08
Random 3   87  0.0149  0.0089  0.0288  0.0275  0.0388  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).