Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.1573  0.0072  0.0466  0.0477  0.0383  0.03
Anderszewski 2003   81  0.1051  0.0080  0.0379  0.0358  0.0567  0.04
Ashkenazy 1981   74  0.1668  0.0076  0.0461  0.0473  0.0571  0.04
Bacha 2000   77  0.1422  0.0061  0.0371  0.0368  0.0475  0.03
Badura 1965   82  0.0981  0.0082  0.0284  0.0273  0.0386  0.02
Barbosa 1983   71  0.1682  0.0073  0.0463  0.0476  0.0466  0.04
Biret 1990   5  0.551  0.361  0.364  0.801  0.882  0.84
Blet 2003   61  0.2065  0.0067  0.0376  0.0367  0.0482  0.03
Block 1995   10  0.4713  0.0113  0.1413  0.6126  0.4518  0.52
Blumental 1952   87  0.0283  0.0088  0.0188  0.0185  0.0290  0.01
Boshniakovich 1969   24  0.3837  0.0027  0.1221  0.5328  0.3725  0.44
Brailowsky 1960   43  0.2953  0.0038  0.0640  0.1442  0.1636  0.15
Bunin 1987   73  0.1674  0.0063  0.0370  0.0367  0.0572  0.04
Bunin 1987b   72  0.1660  0.0064  0.0559  0.0566  0.0463  0.04
Chiu 1999   33  0.3275  0.0050  0.0747  0.0763  0.0548  0.06
Cohen 1997   17  0.436  0.0211  0.1218  0.5613  0.5816  0.57
Cortot 1951   13  0.4510  0.0112  0.1115  0.596  0.6813  0.63
Csalog 1996   8  0.503  0.147  0.1810  0.685  0.6512  0.66
Czerny 1949   28  0.3524  0.0020  0.0824  0.5015  0.7215  0.60
Czerny 1990   86  0.0376  0.0087  0.0287  0.0285  0.0288  0.02
Duchoud 2007   36  0.3121  0.0035  0.0936  0.2940  0.1933  0.23
Ezaki 2006   46  0.2835  0.0019  0.0835  0.2938  0.2332  0.26
Falvay 1989   40  0.2923  0.0033  0.1332  0.4026  0.3330  0.36
Farrell 1958   48  0.2784  0.0040  0.0737  0.2027  0.3631  0.27
Ferenczy 1958   64  0.1930  0.0058  0.0462  0.0437  0.4539  0.13
Fliere 1977   22  0.397  0.0125  0.0923  0.5247  0.0934  0.22
Fou 1978   67  0.1854  0.0070  0.0377  0.0371  0.0376  0.03
Francois 1956   14  0.4527  0.0015  0.1812  0.677  0.7310  0.70
Friedman 1923   37  0.3161  0.0048  0.0654  0.0654  0.0847  0.07
Friedman 1923b   34  0.3143  0.0043  0.0543  0.1151  0.0943  0.10
Friedman 1930   47  0.2869  0.0051  0.0846  0.0861  0.0646  0.07
Garcia 2007   41  0.2962  0.0037  0.0738  0.1749  0.0642  0.10
Garcia 2007b   84  0.0755  0.0086  0.0286  0.0280  0.0389  0.02
Gierzod 1998   75  0.1563  0.0071  0.0464  0.0465  0.0570  0.04
Gornostaeva 1994   1  0.622  0.222  0.351  0.851  0.881  0.86
Groot 1988   39  0.3066  0.0045  0.0556  0.0550  0.0755  0.06
Harasiewicz 1955   4  0.565  0.044  0.242  0.803  0.698  0.74
Hatto 1993   68  0.1777  0.0075  0.0465  0.0480  0.0474  0.04
Hatto 1997   49  0.2639  0.0047  0.0651  0.0660  0.0459  0.05
Horowitz 1949   54  0.2238  0.0065  0.0460  0.0469  0.0464  0.04
Indjic 1988   78  0.1449  0.0079  0.0380  0.0372  0.0565  0.04
Kapell 1951   57  0.2258  0.0057  0.0555  0.0575  0.0462  0.04
Kissin 1993   83  0.0785  0.0083  0.0283  0.0271  0.0580  0.03
Kushner 1989   60  0.2145  0.0060  0.0467  0.0472  0.0461  0.04
Luisada 1991   44  0.2956  0.0046  0.0653  0.0662  0.0556  0.05
Lushtak 2004   45  0.2841  0.0041  0.0641  0.1335  0.1837  0.15
Malcuzynski 1961   66  0.1859  0.0066  0.0372  0.0377  0.0377  0.03
Magaloff 1978   3  0.5626  0.006  0.295  0.778  0.727  0.74
Magin 1975   63  0.2040  0.0062  0.0373  0.0354  0.0757  0.05
Michalowski 1933   19  0.4014  0.0124  0.1126  0.4733  0.3528  0.41
Milkina 1970   52  0.239  0.0118  0.0930  0.4219  0.4822  0.45
Mohovich 1999   21  0.4033  0.0022  0.0925  0.4923  0.3626  0.42
Moravec 1969   50  0.2664  0.0042  0.0642  0.1175  0.0444  0.07
Morozova 2008   53  0.2352  0.0052  0.0845  0.0861  0.0552  0.06
Neighaus 1950   6  0.5415  0.015  0.237  0.763  0.6211  0.69
Niedzielski 1931   58  0.228  0.0153  0.0748  0.0759  0.0650  0.06
Ohlsson 1999   18  0.4111  0.0117  0.1617  0.5825  0.3424  0.44
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   15  0.4525  0.0023  0.1019  0.5529  0.4719  0.51
Paderewski 1930   55  0.2242  0.0054  0.0649  0.0652  0.0751  0.06
Perlemuter 1992   23  0.3831  0.0026  0.1028  0.4536  0.3827  0.41
Pierdomenico 2008   30  0.3470  0.0044  0.0544  0.1058  0.0545  0.07
Poblocka 1999   38  0.3134  0.0039  0.0739  0.1645  0.0741  0.11
Rabcewiczowa 1932   9  0.4828  0.0016  0.239  0.724  0.796  0.75
Rachmaninoff 1923   69  0.1686  0.0056  0.0558  0.0546  0.0749  0.06
Rangell 2001   31  0.3229  0.0031  0.0929  0.4427  0.3129  0.37
Richter 1976   29  0.3446  0.0049  0.0652  0.0663  0.0558  0.05
Rosen 1989   2  0.614  0.093  0.453  0.804  0.743  0.77
Rosenthal 1930   65  0.1971  0.0069  0.0378  0.0368  0.0484  0.03
Rosenthal 1931   85  0.0587  0.0084  0.0382  0.0365  0.0481  0.03
Rosenthal 1931b   80  0.1188  0.0078  0.0381  0.0360  0.0485  0.03
Rosenthal 1931c   56  0.2278  0.0055  0.0650  0.0649  0.0560  0.05
Rosenthal 1931d   79  0.1267  0.0077  0.0374  0.0350  0.0573  0.04
Rossi 2007   11  0.4719  0.0014  0.1511  0.671  0.874  0.76
Rubinstein 1939   42  0.2957  0.0036  0.1033  0.3235  0.1435  0.21
Rubinstein 1952   12  0.4716  0.018  0.196  0.761  0.765  0.76
Rubinstein 1966   32  0.3212  0.0132  0.1131  0.4062  0.0538  0.14
Schilhawsky 1960   51  0.2336  0.0068  0.0469  0.0458  0.0568  0.04
Shebanova 2002   59  0.2148  0.0074  0.0468  0.0474  0.0469  0.04
Smith 1975   16  0.4418  0.0010  0.1714  0.6110  0.6214  0.61
Sokolov 2002   7  0.5020  0.009  0.248  0.743  0.739  0.73
Sztompka 1959   70  0.1679  0.0081  0.0375  0.0382  0.0379  0.03
Tomsic 1995   62  0.2089  0.0059  0.0557  0.0585  0.0278  0.03
Uninsky 1932   35  0.3117  0.0034  0.1334  0.3161  0.0540  0.12
Uninsky 1971   20  0.4050  0.0021  0.1116  0.5823  0.3523  0.45
Wasowski 1980   25  0.3832  0.0029  0.1120  0.5432  0.4320  0.48
Zak 1937   27  0.3690  0.0030  0.1227  0.4518  0.4721  0.46
Zak 1951   26  0.3744  0.0028  0.1122  0.5214  0.5617  0.54
Random 1   90  -0.0480  0.0089  0.0189  0.0157  0.0487  0.02
Random 2   88  0.0072  0.0085  0.0285  0.0236  0.1653  0.06
Random 3   89  -0.0147  0.0090  0.0190  0.0116  0.4054  0.06

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).