Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7613  0.0113  0.0910  0.4927  0.3114  0.39
Anderszewski 2003   10  0.7728  0.0015  0.0811  0.498  0.4211  0.45
Ashkenazy 1981   67  0.6054  0.0051  0.0461  0.0460  0.0484  0.04
Bacha 2000   32  0.6812  0.0118  0.0824  0.337  0.4417  0.38
Badura 1965   66  0.6134  0.0078  0.0552  0.0541  0.2054  0.10
Barbosa 1983   85  0.418  0.0319  0.0838  0.1826  0.2238  0.20
Biret 1990   5  0.7810  0.027  0.185  0.622  0.692  0.65
Blet 2003   36  0.6742  0.0041  0.0642  0.1527  0.2839  0.20
Block 1995   60  0.6383  0.0034  0.0637  0.1915  0.3135  0.24
Blumental 1952   48  0.655  0.0410  0.1227  0.3122  0.2034  0.25
Boshniakovich 1969   39  0.6732  0.0048  0.0550  0.0568  0.0570  0.05
Brailowsky 1960   26  0.7086  0.0060  0.0371  0.0323  0.3152  0.10
Bunin 1987   87  0.3172  0.0088  0.0470  0.0454  0.0672  0.05
Bunin 1987b   88  0.3080  0.0087  0.0463  0.0471  0.0476  0.04
Chiu 1999   76  0.5667  0.0059  0.0373  0.0350  0.0488  0.03
Cohen 1997   86  0.3735  0.0085  0.0467  0.0442  0.1359  0.07
Cortot 1951   55  0.6468  0.0072  0.0378  0.0354  0.0490  0.03
Csalog 1996   77  0.5614  0.0170  0.0380  0.0319  0.3453  0.10
Czerny 1949   47  0.6526  0.0046  0.0746  0.0754  0.0562  0.06
Czerny 1990   11  0.7751  0.0012  0.0913  0.4811  0.459  0.46
Duchoud 2007   82  0.5460  0.0061  0.0374  0.0334  0.1658  0.07
Ezaki 2006   6  0.7820  0.015  0.146  0.574  0.585  0.57
Falvay 1989   53  0.6453  0.0076  0.0381  0.0312  0.5250  0.12
Farrell 1958   31  0.6873  0.0022  0.0717  0.4113  0.4910  0.45
Ferenczy 1958   74  0.5787  0.0084  0.0457  0.0473  0.0389  0.03
Fliere 1977   19  0.7362  0.0023  0.0726  0.3262  0.0451  0.11
Fou 1978   8  0.774  0.056  0.148  0.564  0.536  0.54
Francois 1956   37  0.6757  0.0062  0.0372  0.0329  0.2557  0.09
Friedman 1923   68  0.6063  0.0073  0.0462  0.0461  0.0587  0.04
Friedman 1923b   70  0.6058  0.0069  0.0377  0.0356  0.0585  0.04
Friedman 1930   69  0.6031  0.0079  0.0388  0.0362  0.0581  0.04
Garcia 2007   35  0.6784  0.0050  0.0555  0.0556  0.0569  0.05
Garcia 2007b   41  0.6681  0.0049  0.0553  0.0556  0.0574  0.05
Gierzod 1998   14  0.7621  0.0111  0.109  0.5027  0.3115  0.39
Gornostaeva 1994   16  0.7444  0.0026  0.0621  0.3814  0.3321  0.35
Groot 1988   58  0.6464  0.0038  0.0534  0.2126  0.3333  0.26
Harasiewicz 1955   17  0.7416  0.0114  0.0914  0.4826  0.3216  0.39
Hatto 1993   83  0.5288  0.0081  0.0549  0.0560  0.0573  0.05
Hatto 1997   81  0.5489  0.0082  0.0551  0.0559  0.0567  0.05
Horowitz 1949   59  0.6469  0.0068  0.0385  0.0355  0.0677  0.04
Indjic 1988   79  0.5430  0.0080  0.0468  0.0456  0.0580  0.04
Kapell 1951   29  0.6938  0.0033  0.0825  0.3354  0.0548  0.13
Kissin 1993   7  0.777  0.048  0.217  0.5610  0.507  0.53
Kushner 1989   12  0.7745  0.0027  0.0719  0.4026  0.3319  0.36
Luisada 1991   20  0.7225  0.009  0.1312  0.4922  0.3018  0.38
Lushtak 2004   75  0.5778  0.0063  0.0465  0.0457  0.0482  0.04
Malcuzynski 1961   30  0.6956  0.0035  0.0740  0.1712  0.3931  0.26
Magaloff 1978   24  0.7152  0.0045  0.0645  0.126  0.4436  0.23
Magin 1975   28  0.6937  0.0028  0.0722  0.3431  0.2228  0.27
Michalowski 1933   50  0.6574  0.0075  0.0375  0.0354  0.0579  0.04
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   4  0.821  0.241  0.243  0.632  0.731  0.68
Moravec 1969   64  0.6247  0.0066  0.0376  0.0315  0.4849  0.12
Morozova 2008   46  0.6611  0.0239  0.0535  0.2037  0.1840  0.19
Neighaus 1950   49  0.6536  0.0071  0.0379  0.0357  0.0586  0.04
Niedzielski 1931   71  0.5990  0.0065  0.0386  0.0349  0.0575  0.04
Ohlsson 1999   44  0.6640  0.0047  0.0747  0.0760  0.0561  0.06
Osinska 1989   2  0.833  0.083  0.194  0.622  0.624  0.62
Pachmann 1927   65  0.6175  0.0083  0.0387  0.0345  0.1064  0.05
Paderewski 1930   56  0.6491  0.0077  0.0469  0.0446  0.0478  0.04
Perlemuter 1992   27  0.6955  0.0040  0.0532  0.2141  0.1442  0.17
Pierdomenico 2008   80  0.5450  0.0074  0.0384  0.0331  0.2655  0.09
Poblocka 1999   52  0.6415  0.0155  0.0459  0.0451  0.0663  0.05
Rabcewiczowa 1932   21  0.7285  0.0042  0.0544  0.1427  0.2341  0.18
Rachmaninoff 1923   18  0.7323  0.0116  0.0923  0.3421  0.3323  0.33
Rangell 2001   63  0.6248  0.0031  0.0736  0.192  0.5526  0.32
Richter 1976   84  0.4519  0.0186  0.0554  0.0548  0.0760  0.06
Rosen 1989   3  0.826  0.044  0.272  0.643  0.643  0.64
Rosenthal 1930   57  0.6459  0.0067  0.0383  0.0320  0.2956  0.09
Rosenthal 1931   40  0.6677  0.0054  0.0458  0.049  0.5246  0.14
Rosenthal 1931b   45  0.6629  0.0057  0.0460  0.0411  0.5147  0.14
Rosenthal 1931c   61  0.639  0.0258  0.0648  0.0610  0.4743  0.17
Rosenthal 1931d   38  0.6746  0.0056  0.0456  0.049  0.5345  0.15
Rossi 2007   23  0.7166  0.0032  0.0630  0.263  0.6013  0.39
Rubinstein 1939   62  0.6339  0.0036  0.0533  0.216  0.5025  0.32
Rubinstein 1952   78  0.5541  0.0044  0.0641  0.168  0.5227  0.29
Rubinstein 1966   42  0.6622  0.0124  0.0931  0.2611  0.4620  0.35
Schilhawsky 1960   72  0.5861  0.0052  0.0464  0.0449  0.0766  0.05
Shebanova 2002   15  0.7543  0.0025  0.0816  0.4142  0.1632  0.26
Smith 1975   22  0.7179  0.0029  0.0728  0.3116  0.3624  0.33
Sokolov 2002   51  0.6427  0.0037  0.0543  0.1524  0.2637  0.20
Sztompka 1959   9  0.7718  0.0117  0.0815  0.4530  0.2622  0.34
Tomsic 1995   54  0.6470  0.0030  0.0729  0.294  0.6412  0.43
Uninsky 1932   43  0.6671  0.0053  0.0466  0.0448  0.0768  0.05
Uninsky 1971   73  0.5717  0.0164  0.0382  0.0349  0.0765  0.05
Wasowski 1980   34  0.6833  0.0043  0.0639  0.1840  0.1244  0.15
Zak 1937   25  0.7024  0.0121  0.0920  0.4034  0.1730  0.26
Zak 1951   33  0.6849  0.0020  0.0818  0.4036  0.1829  0.27
Average   1  0.852  0.192  0.211  0.7023  0.328  0.47
Random 1   91  -0.2065  0.0089  0.0190  0.0134  0.1683  0.04
Random 2   90  -0.1582  0.0091  0.0191  0.0153  0.0491  0.02
Random 3   89  -0.1476  0.0090  0.0189  0.0135  0.2171  0.05

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).