Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.6636  0.0054  0.0461  0.0455  0.0462  0.04
Anderszewski 2003   67  0.4626  0.0071  0.0472  0.0477  0.0377  0.03
Ashkenazy 1981   43  0.6132  0.0045  0.0841  0.1664  0.0351  0.07
Bacha 2000   16  0.7340  0.0020  0.0719  0.374  0.538  0.44
Badura 1965   70  0.4565  0.0053  0.0466  0.0455  0.0464  0.04
Barbosa 1983   66  0.4644  0.0057  0.0551  0.0570  0.0359  0.04
Biret 1990   25  0.6749  0.0036  0.0626  0.2632  0.1935  0.22
Blet 2003   52  0.5652  0.0069  0.0471  0.0475  0.0378  0.03
Block 1995   21  0.6885  0.0035  0.0827  0.2619  0.3030  0.28
Blumental 1952   82  0.3025  0.0061  0.0460  0.0444  0.0852  0.06
Boshniakovich 1969   35  0.6379  0.0032  0.0628  0.2614  0.3528  0.30
Brailowsky 1960   13  0.7522  0.0111  0.117  0.493  0.536  0.51
Bunin 1987   74  0.4331  0.0082  0.0373  0.0383  0.0384  0.03
Bunin 1987b   73  0.4437  0.0081  0.0377  0.0383  0.0372  0.03
Chiu 1999   61  0.5166  0.0018  0.0814  0.4216  0.4212  0.42
Cohen 1997   57  0.5214  0.0234  0.0832  0.223  0.5321  0.34
Cortot 1951   63  0.5055  0.0078  0.0375  0.0366  0.0486  0.03
Csalog 1996   23  0.6734  0.0033  0.0631  0.2410  0.5019  0.35
Czerny 1949   71  0.4511  0.0246  0.0648  0.0645  0.0950  0.07
Czerny 1990   36  0.6374  0.0055  0.0554  0.0562  0.0466  0.04
Duchoud 2007   46  0.6059  0.0065  0.0552  0.0574  0.0363  0.04
Ezaki 2006   34  0.6418  0.0152  0.0558  0.0566  0.0455  0.04
Falvay 1989   3  0.794  0.102  0.181  0.661  0.671  0.66
Farrell 1958   22  0.6827  0.0056  0.0649  0.0642  0.1148  0.08
Ferenczy 1958   65  0.4853  0.0080  0.0383  0.0382  0.0289  0.02
Fliere 1977   14  0.7578  0.0016  0.088  0.4626  0.2322  0.33
Fou 1978   12  0.751  0.151  0.153  0.594  0.555  0.57
Francois 1956   39  0.6312  0.0242  0.0744  0.1444  0.1041  0.12
Friedman 1923   91  -0.1286  0.0091  0.0191  0.0181  0.0391  0.02
Friedman 1923b   90  -0.1288  0.0090  0.0290  0.0280  0.0390  0.02
Friedman 1930   87  -0.0170  0.0088  0.0287  0.0284  0.0288  0.02
Garcia 2007   81  0.3058  0.0084  0.0384  0.0367  0.0481  0.03
Garcia 2007b   86  0.0854  0.0085  0.0382  0.0365  0.0387  0.03
Gierzod 1998   40  0.6221  0.0143  0.0545  0.1446  0.0549  0.08
Gornostaeva 1994   24  0.6741  0.0038  0.0634  0.2135  0.1937  0.20
Groot 1988   4  0.7916  0.0110  0.109  0.4519  0.3714  0.41
Harasiewicz 1955   72  0.4415  0.0126  0.0630  0.2555  0.0444  0.10
Hatto 1993   79  0.3639  0.0062  0.0464  0.0457  0.0385  0.03
Hatto 1997   77  0.4045  0.0064  0.0470  0.0467  0.0379  0.03
Horowitz 1949   30  0.6571  0.0027  0.0623  0.3015  0.3524  0.32
Indjic 1988   78  0.3864  0.0063  0.0556  0.0568  0.0358  0.04
Kapell 1951   50  0.5729  0.0075  0.0469  0.0469  0.0371  0.03
Kissin 1993   2  0.802  0.133  0.275  0.583  0.623  0.60
Kushner 1989   15  0.7423  0.0117  0.0715  0.4113  0.3916  0.40
Luisada 1991   38  0.633  0.117  0.1420  0.3614  0.4018  0.38
Lushtak 2004   62  0.5082  0.0060  0.0555  0.0558  0.0465  0.04
Malcuzynski 1961   8  0.7867  0.0023  0.0624  0.2938  0.1338  0.19
Magaloff 1978   6  0.7962  0.008  0.1313  0.4220  0.3815  0.40
Magin 1975   45  0.6075  0.0031  0.0639  0.1825  0.2236  0.20
Michalowski 1933   83  0.1673  0.0072  0.0381  0.0382  0.0375  0.03
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   18  0.7150  0.0041  0.0743  0.1544  0.0842  0.11
Moravec 1969   17  0.7110  0.0222  0.0622  0.3312  0.4617  0.39
Morozova 2008   58  0.5220  0.0119  0.0725  0.2617  0.2232  0.24
Neighaus 1950   29  0.6656  0.0039  0.0636  0.2052  0.0543  0.10
Niedzielski 1931   56  0.5480  0.0067  0.0463  0.0436  0.1647  0.08
Ohlsson 1999   26  0.6628  0.0044  0.0640  0.1734  0.1839  0.17
Osinska 1989   19  0.7024  0.0024  0.0621  0.3417  0.3420  0.34
Pachmann 1927   51  0.5677  0.0040  0.0842  0.1619  0.4231  0.26
Paderewski 1930   49  0.5746  0.0059  0.0462  0.0467  0.0373  0.03
Perlemuter 1992   53  0.5657  0.0048  0.0550  0.0552  0.0553  0.05
Pierdomenico 2008   37  0.6338  0.0012  0.0916  0.405  0.489  0.44
Poblocka 1999   31  0.6589  0.0058  0.0465  0.0480  0.0367  0.03
Rabcewiczowa 1932   69  0.4642  0.0070  0.0376  0.0372  0.0370  0.03
Rachmaninoff 1923   75  0.4243  0.0068  0.0467  0.0477  0.0369  0.03
Rangell 2001   9  0.7813  0.026  0.1512  0.436  0.4510  0.44
Richter 1976   41  0.6190  0.0049  0.0646  0.0632  0.1445  0.09
Rosen 1989   20  0.6968  0.0037  0.0637  0.1935  0.2534  0.22
Rosenthal 1930   59  0.5276  0.0073  0.0374  0.0374  0.0382  0.03
Rosenthal 1931   54  0.5635  0.0029  0.0633  0.2216  0.4027  0.30
Rosenthal 1931b   55  0.5587  0.0030  0.0735  0.2116  0.4029  0.29
Rosenthal 1931c   42  0.6160  0.0047  0.0559  0.0553  0.0554  0.05
Rosenthal 1931d   33  0.6430  0.0021  0.0729  0.2511  0.4125  0.32
Rossi 2007   84  0.1281  0.0077  0.0379  0.0364  0.0368  0.03
Rubinstein 1939   60  0.528  0.0328  0.0638  0.192  0.5623  0.33
Rubinstein 1952   1  0.825  0.084  0.202  0.602  0.632  0.61
Rubinstein 1966   10  0.7617  0.0125  0.0618  0.386  0.577  0.47
Schilhawsky 1960   64  0.4847  0.0074  0.0468  0.0465  0.0460  0.04
Shebanova 2002   7  0.789  0.035  0.144  0.592  0.584  0.58
Smith 1975   48  0.5948  0.0051  0.0557  0.0578  0.0357  0.04
Sokolov 2002   47  0.5919  0.0166  0.0553  0.0566  0.0456  0.04
Sztompka 1959   76  0.4191  0.0076  0.0378  0.0379  0.0374  0.03
Tomsic 1995   11  0.757  0.0613  0.0817  0.3828  0.2626  0.31
Uninsky 1932   80  0.3263  0.0083  0.0385  0.0378  0.0380  0.03
Uninsky 1971   68  0.4672  0.0079  0.0380  0.0374  0.0376  0.03
Wasowski 1980   44  0.6051  0.0050  0.0647  0.0622  0.2440  0.12
Zak 1937   27  0.6661  0.0015  0.0810  0.4514  0.4111  0.43
Zak 1951   32  0.6533  0.0014  0.0711  0.4416  0.4113  0.42
Average   5  0.796  0.069  0.096  0.5042  0.1133  0.23
Random 1   88  -0.0383  0.0086  0.0288  0.0214  0.3946  0.09
Random 2   89  -0.0469  0.0089  0.0286  0.0245  0.0961  0.04
Random 3   85  0.1184  0.0087  0.0289  0.0253  0.0583  0.03

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).