Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.5289  0.0054  0.0467  0.0458  0.0467  0.04
Anderszewski 2003   3  0.743  0.102  0.223  0.4912  0.493  0.49
Ashkenazy 1981   4  0.714  0.093  0.161  0.568  0.491  0.52
Bacha 2000   23  0.622  0.114  0.1215  0.391  0.574  0.47
Badura 1965   82  0.3265  0.0075  0.0373  0.0372  0.0380  0.03
Barbosa 1983   72  0.4231  0.0157  0.0645  0.0652  0.0454  0.05
Biret 1990   10  0.7042  0.0016  0.074  0.4610  0.399  0.42
Blet 2003   25  0.6214  0.0152  0.0646  0.0649  0.0555  0.05
Block 1995   43  0.5576  0.0045  0.0554  0.0528  0.2442  0.11
Blumental 1952   66  0.4617  0.0149  0.0457  0.0433  0.1353  0.07
Boshniakovich 1969   33  0.6147  0.0044  0.0642  0.1251  0.0549  0.08
Brailowsky 1960   2  0.748  0.038  0.1016  0.3812  0.4011  0.39
Bunin 1987   49  0.5359  0.0071  0.0456  0.0478  0.0381  0.03
Bunin 1987b   48  0.5343  0.0070  0.0460  0.0477  0.0374  0.03
Chiu 1999   27  0.6282  0.0018  0.097  0.4313  0.467  0.44
Cohen 1997   83  0.2973  0.0074  0.0382  0.0347  0.0568  0.04
Cortot 1951   73  0.4160  0.0083  0.0284  0.0266  0.0484  0.03
Csalog 1996   84  0.2740  0.0072  0.0381  0.0338  0.2248  0.08
Czerny 1949   64  0.4766  0.0056  0.0549  0.0567  0.0366  0.04
Czerny 1990   17  0.6326  0.0138  0.0636  0.1771  0.0451  0.08
Duchoud 2007   22  0.6356  0.0025  0.0522  0.3238  0.1827  0.24
Ezaki 2006   11  0.6974  0.0028  0.0525  0.2753  0.0540  0.12
Falvay 1989   24  0.6225  0.0122  0.0924  0.3029  0.1926  0.24
Farrell 1958   30  0.6161  0.0050  0.0551  0.0533  0.1347  0.08
Ferenczy 1958   63  0.4749  0.0077  0.0379  0.0350  0.0479  0.03
Fliere 1977   7  0.7151  0.0017  0.078  0.4333  0.1822  0.28
Fou 1978   19  0.6328  0.0120  0.0617  0.3825  0.3515  0.36
Francois 1956   70  0.4552  0.0048  0.0553  0.0571  0.0471  0.04
Friedman 1923   88  0.0890  0.0088  0.0287  0.0271  0.0585  0.03
Friedman 1923b   87  0.0885  0.0087  0.0288  0.0268  0.0582  0.03
Friedman 1930   85  0.2262  0.0082  0.0285  0.0256  0.0578  0.03
Garcia 2007   51  0.5255  0.0041  0.0544  0.1114  0.3831  0.20
Garcia 2007b   61  0.4710  0.0210  0.0927  0.265  0.4317  0.33
Gierzod 1998   32  0.6139  0.0023  0.0628  0.2531  0.1928  0.22
Gornostaeva 1994   14  0.6433  0.0046  0.0552  0.0548  0.0556  0.05
Groot 1988   50  0.5254  0.0063  0.0465  0.0472  0.0383  0.03
Harasiewicz 1955   58  0.5013  0.0239  0.0537  0.1556  0.0452  0.08
Hatto 1993   38  0.5816  0.016  0.146  0.447  0.466  0.45
Hatto 1997   31  0.6134  0.009  0.1011  0.4112  0.4110  0.41
Horowitz 1949   59  0.5048  0.0060  0.0371  0.0362  0.0475  0.03
Indjic 1988   37  0.5937  0.007  0.109  0.437  0.495  0.46
Kapell 1951   44  0.5441  0.0062  0.0464  0.0448  0.0559  0.04
Kissin 1993   18  0.6344  0.0024  0.0920  0.3320  0.3516  0.34
Kushner 1989   9  0.7024  0.0113  0.0810  0.4217  0.3612  0.39
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   41  0.5677  0.0043  0.0643  0.1244  0.0944  0.10
Malcuzynski 1961   34  0.6169  0.0053  0.0550  0.0557  0.0460  0.04
Magaloff 1978   26  0.6222  0.0136  0.0631  0.2471  0.0346  0.08
Magin 1975   1  0.751  0.181  0.185  0.455  0.428  0.43
Michalowski 1933   78  0.4046  0.0042  0.0738  0.1537  0.2234  0.18
Milkina 1970   21  0.635  0.0612  0.0813  0.4019  0.3613  0.38
Mohovich 1999   12  0.6712  0.0234  0.0634  0.2044  0.0839  0.13
Moravec 1969   54  0.5121  0.0126  0.0630  0.2423  0.3221  0.28
Morozova 2008   6  0.7153  0.005  0.1118  0.3414  0.2618  0.30
Neighaus 1950   20  0.6327  0.0127  0.0621  0.3343  0.1329  0.21
Niedzielski 1931   75  0.4150  0.0064  0.0459  0.0424  0.2443  0.10
Ohlsson 1999   8  0.707  0.0411  0.092  0.5011  0.482  0.49
Osinska 1989   39  0.5830  0.0132  0.0541  0.1233  0.1737  0.14
Pachmann 1927   81  0.3464  0.0073  0.0380  0.0356  0.0561  0.04
Paderewski 1930   67  0.4580  0.0078  0.0374  0.0377  0.0286  0.02
Perlemuter 1992   47  0.5329  0.0161  0.0370  0.0378  0.0372  0.03
Pierdomenico 2008   15  0.6467  0.0029  0.0629  0.2420  0.2924  0.26
Poblocka 1999   35  0.6020  0.0137  0.0539  0.1436  0.1735  0.15
Rabcewiczowa 1932   55  0.5183  0.0065  0.0462  0.0451  0.0558  0.04
Rachmaninoff 1923   57  0.5068  0.0051  0.0548  0.0571  0.0357  0.04
Rangell 2001   36  0.5923  0.0131  0.0626  0.2620  0.2625  0.26
Richter 1976   65  0.4778  0.0076  0.0378  0.0371  0.0376  0.03
Rosen 1989   16  0.6386  0.0033  0.0532  0.2327  0.3123  0.27
Rosenthal 1930   80  0.3970  0.0084  0.0286  0.0281  0.0387  0.02
Rosenthal 1931   60  0.4879  0.0069  0.0463  0.0453  0.0563  0.04
Rosenthal 1931b   62  0.4787  0.0067  0.0369  0.0351  0.0570  0.04
Rosenthal 1931c   77  0.4084  0.0080  0.0375  0.0382  0.0289  0.02
Rosenthal 1931d   56  0.5171  0.0068  0.0455  0.0455  0.0569  0.04
Rossi 2007   79  0.4081  0.0040  0.0540  0.1328  0.1638  0.14
Rubinstein 1939   68  0.4532  0.0059  0.0372  0.0313  0.4341  0.11
Rubinstein 1952   53  0.5158  0.0055  0.0466  0.0428  0.2745  0.10
Rubinstein 1966   29  0.6135  0.0047  0.0547  0.0514  0.4536  0.15
Schilhawsky 1960   71  0.4588  0.0066  0.0468  0.0462  0.0464  0.04
Shebanova 2002   28  0.626  0.0519  0.0614  0.3922  0.3814  0.38
Smith 1975   5  0.7119  0.0114  0.1112  0.4044  0.1030  0.20
Sokolov 2002   42  0.5611  0.0258  0.0458  0.0469  0.0373  0.03
Sztompka 1959   69  0.4563  0.0079  0.0376  0.0354  0.0562  0.04
Tomsic 1995   13  0.6518  0.0135  0.0635  0.1934  0.1733  0.18
Uninsky 1932   76  0.4045  0.0086  0.0461  0.0470  0.0465  0.04
Uninsky 1971   74  0.4157  0.0085  0.0377  0.0379  0.0377  0.03
Wasowski 1980   46  0.5415  0.0130  0.0633  0.2231  0.1432  0.18
Zak 1937   40  0.5638  0.0021  0.0823  0.3123  0.2819  0.29
Zak 1951   45  0.549  0.0215  0.0619  0.3329  0.2620  0.29
Random 1   89  -0.0375  0.0090  0.0190  0.0174  0.0388  0.02
Random 2   90  -0.2072  0.0089  0.0189  0.0179  0.0290  0.01
Random 3   86  0.2036  0.0081  0.0283  0.0216  0.3650  0.08

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).