Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.7631  0.0023  0.1019  0.4236  0.2628  0.33
Anderszewski 2003   4  0.828  0.055  0.134  0.611  0.613  0.61
Ashkenazy 1981   62  0.6485  0.0053  0.0474  0.0449  0.0585  0.04
Bacha 2000   56  0.6679  0.0033  0.0640  0.1513  0.3839  0.24
Badura 1965   70  0.5972  0.0082  0.0459  0.0465  0.0484  0.04
Barbosa 1983   78  0.5474  0.0060  0.0379  0.0322  0.2368  0.08
Biret 1990   13  0.772  0.112  0.156  0.572  0.634  0.60
Blet 2003   52  0.6869  0.0052  0.0469  0.0434  0.1869  0.08
Block 1995   44  0.6963  0.0040  0.0835  0.206  0.4331  0.29
Blumental 1952   61  0.6529  0.0112  0.0830  0.2516  0.2440  0.24
Boshniakovich 1969   31  0.7241  0.0051  0.0465  0.0438  0.2066  0.09
Brailowsky 1960   32  0.7280  0.0054  0.0477  0.0413  0.4050  0.13
Bunin 1987   86  0.3875  0.0087  0.0472  0.0472  0.0486  0.04
Bunin 1987b   87  0.3787  0.0086  0.0468  0.0467  0.0478  0.04
Chiu 1999   67  0.6081  0.0065  0.0463  0.0468  0.0387  0.03
Cohen 1997   85  0.4088  0.0083  0.0385  0.0342  0.1076  0.05
Cortot 1951   36  0.7156  0.0057  0.0648  0.0620  0.4146  0.16
Csalog 1996   81  0.5076  0.0072  0.0555  0.0530  0.2659  0.11
Czerny 1949   24  0.7517  0.0135  0.0531  0.2538  0.2837  0.26
Czerny 1990   5  0.815  0.098  0.1413  0.487  0.5010  0.49
Duchoud 2007   84  0.4882  0.0076  0.0387  0.0356  0.0583  0.04
Ezaki 2006   7  0.7912  0.0213  0.0815  0.459  0.5211  0.48
Falvay 1989   63  0.6235  0.0074  0.0381  0.0325  0.4357  0.11
Farrell 1958   25  0.757  0.067  0.203  0.621  0.641  0.63
Ferenczy 1958   50  0.6842  0.0063  0.0457  0.0421  0.3160  0.11
Fliere 1977   3  0.824  0.094  0.145  0.6017  0.3912  0.48
Fou 1978   29  0.7343  0.0020  0.0718  0.448  0.4718  0.45
Francois 1956   33  0.7216  0.0134  0.0639  0.168  0.5033  0.28
Friedman 1923   40  0.7148  0.0050  0.0461  0.0430  0.3756  0.12
Friedman 1923b   42  0.7023  0.0149  0.0649  0.0629  0.3847  0.15
Friedman 1930   30  0.7339  0.0055  0.0554  0.0529  0.3948  0.14
Garcia 2007   18  0.7660  0.0021  0.0921  0.417  0.5415  0.47
Garcia 2007b   26  0.7413  0.0217  0.0914  0.476  0.559  0.51
Gierzod 1998   2  0.833  0.103  0.142  0.6212  0.486  0.55
Gornostaeva 1994   22  0.7522  0.0139  0.0738  0.168  0.4435  0.27
Groot 1988   45  0.6918  0.0130  0.1029  0.304  0.5322  0.40
Harasiewicz 1955   21  0.7628  0.0127  0.0826  0.3429  0.2236  0.27
Hatto 1993   48  0.6852  0.0045  0.0647  0.0628  0.2853  0.13
Hatto 1997   41  0.7037  0.0046  0.0845  0.0831  0.2449  0.14
Horowitz 1949   47  0.6945  0.0058  0.0470  0.0436  0.3258  0.11
Indjic 1988   39  0.7165  0.0042  0.0641  0.1430  0.2541  0.19
Kapell 1951   43  0.7024  0.0126  0.0823  0.3623  0.1838  0.25
Kissin 1993   20  0.7625  0.0116  0.0811  0.5017  0.4316  0.46
Kushner 1989   19  0.7615  0.0125  0.1022  0.3611  0.4821  0.42
Luisada 1991   23  0.7567  0.0019  0.0717  0.448  0.4220  0.43
Lushtak 2004   49  0.6847  0.0041  0.0642  0.1318  0.2842  0.19
Malcuzynski 1961   68  0.6044  0.0070  0.0471  0.0428  0.2362  0.10
Magaloff 1978   27  0.7449  0.0037  0.0734  0.212  0.5425  0.34
Magin 1975   55  0.6750  0.0047  0.0551  0.0570  0.0477  0.04
Michalowski 1933   69  0.5930  0.0075  0.0383  0.0355  0.0581  0.04
Milkina 1970   1  0.831  0.151  0.141  0.623  0.622  0.62
Mohovich 1999   10  0.786  0.086  0.1310  0.534  0.665  0.59
Moravec 1969   71  0.5853  0.0073  0.0386  0.0325  0.3461  0.10
Morozova 2008   59  0.6564  0.0056  0.0458  0.0458  0.0482  0.04
Neighaus 1950   14  0.7746  0.0024  0.0924  0.3625  0.3824  0.37
Niedzielski 1931   38  0.7170  0.0032  0.0536  0.2022  0.4329  0.29
Ohlsson 1999   46  0.6936  0.0048  0.0646  0.0635  0.1763  0.10
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   65  0.6258  0.0085  0.0466  0.0456  0.0480  0.04
Paderewski 1930   60  0.6589  0.0061  0.0475  0.0421  0.3455  0.12
Perlemuter 1992   16  0.7611  0.0218  0.0816  0.4411  0.4617  0.45
Pierdomenico 2008   76  0.5632  0.0062  0.0462  0.0411  0.4451  0.13
Poblocka 1999   53  0.6754  0.0043  0.0643  0.1335  0.1943  0.16
Rabcewiczowa 1932   57  0.6661  0.0059  0.0476  0.0444  0.0871  0.06
Rachmaninoff 1923   15  0.7620  0.0122  0.0928  0.3317  0.3427  0.33
Rangell 2001   82  0.4983  0.0066  0.0550  0.0519  0.3652  0.13
Richter 1976   83  0.4977  0.0084  0.0382  0.0359  0.0579  0.04
Rosen 1989   8  0.7851  0.009  0.149  0.546  0.557  0.54
Rosenthal 1930   72  0.5857  0.0077  0.0384  0.0334  0.1272  0.06
Rosenthal 1931   75  0.5634  0.0078  0.0478  0.0427  0.2564  0.10
Rosenthal 1931b   74  0.5740  0.0079  0.0380  0.0328  0.2170  0.08
Rosenthal 1931c   79  0.5371  0.0081  0.0467  0.0432  0.1967  0.09
Rosenthal 1931d   73  0.5786  0.0080  0.0473  0.0424  0.2565  0.10
Rossi 2007   34  0.7214  0.0131  0.0633  0.222  0.6123  0.37
Rubinstein 1939   51  0.6826  0.0144  0.0744  0.133  0.5534  0.27
Rubinstein 1952   80  0.5038  0.0067  0.0460  0.0424  0.4054  0.13
Rubinstein 1966   35  0.7233  0.0038  0.0832  0.236  0.5126  0.34
Schilhawsky 1960   54  0.6721  0.0136  0.0637  0.1944  0.1445  0.16
Shebanova 2002   12  0.7810  0.0211  0.128  0.5521  0.3619  0.44
Smith 1975   11  0.7827  0.0114  0.1020  0.412  0.5313  0.47
Sokolov 2002   77  0.5473  0.0071  0.0552  0.0553  0.0573  0.05
Sztompka 1959   6  0.799  0.0210  0.207  0.5618  0.4014  0.47
Tomsic 1995   64  0.6259  0.0069  0.0556  0.0513  0.5244  0.16
Uninsky 1932   58  0.6668  0.0064  0.0464  0.0454  0.0675  0.05
Uninsky 1971   66  0.6078  0.0068  0.0553  0.0558  0.0674  0.05
Wasowski 1980   9  0.7819  0.0115  0.0812  0.491  0.548  0.51
Zak 1937   28  0.7366  0.0028  0.1125  0.3424  0.2430  0.29
Zak 1951   37  0.7155  0.0029  0.1027  0.3325  0.2432  0.28
Random 1   90  -0.2362  0.0089  0.0189  0.0145  0.0688  0.02
Random 2   88  -0.2384  0.0090  0.0190  0.0182  0.0289  0.01
Random 3   89  -0.2390  0.0088  0.0188  0.0182  0.0290  0.01

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).