Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8216  0.016  0.144  0.5510  0.465  0.50
Anderszewski 2003   17  0.7612  0.0116  0.0520  0.3116  0.3129  0.31
Ashkenazy 1981   23  0.7510  0.0218  0.0719  0.3219  0.3326  0.32
Bacha 2000   54  0.6521  0.0127  0.0537  0.1610  0.4136  0.26
Badura 1965   45  0.6845  0.0062  0.0651  0.0632  0.3543  0.14
Barbosa 1983   41  0.6927  0.0043  0.0638  0.154  0.5233  0.28
Biret 1990   40  0.6914  0.0153  0.0748  0.0727  0.2448  0.13
Blet 2003   32  0.7451  0.0038  0.0736  0.177  0.4634  0.28
Block 1995   59  0.6277  0.0039  0.0543  0.1213  0.3241  0.20
Blumental 1952   42  0.6913  0.0144  0.0544  0.1034  0.1356  0.11
Boshniakovich 1969   48  0.6715  0.0149  0.0561  0.0543  0.1761  0.09
Brailowsky 1960   43  0.6911  0.0231  0.0634  0.201  0.6519  0.36
Bunin 1987   83  0.4154  0.0088  0.0475  0.0461  0.0582  0.04
Bunin 1987b   85  0.4067  0.0087  0.0469  0.0460  0.0577  0.04
Chiu 1999   20  0.7623  0.0122  0.0823  0.304  0.4517  0.37
Cohen 1997   73  0.5178  0.0077  0.0383  0.0336  0.2165  0.08
Cortot 1951   66  0.5957  0.0070  0.0467  0.0460  0.0483  0.04
Csalog 1996   87  0.3955  0.0069  0.0468  0.0440  0.1270  0.07
Czerny 1949   53  0.6589  0.0056  0.0563  0.0548  0.0772  0.06
Czerny 1990   21  0.7579  0.0026  0.0529  0.2418  0.3532  0.29
Duchoud 2007   76  0.5034  0.0073  0.0378  0.0356  0.0581  0.04
Ezaki 2006   2  0.844  0.065  0.178  0.4211  0.517  0.46
Falvay 1989   71  0.5337  0.0080  0.0474  0.0443  0.2160  0.09
Farrell 1958   38  0.7175  0.0055  0.0560  0.0538  0.1957  0.10
Ferenczy 1958   50  0.6619  0.0151  0.0559  0.0517  0.3646  0.13
Fliere 1977   5  0.826  0.043  0.193  0.6511  0.462  0.55
Fou 1978   19  0.7644  0.0036  0.0531  0.2119  0.3435  0.27
Francois 1956   64  0.5980  0.0065  0.0649  0.0630  0.2451  0.12
Friedman 1923   6  0.805  0.0514  0.0815  0.3518  0.4813  0.41
Friedman 1923b   7  0.8040  0.0015  0.0914  0.3519  0.4712  0.41
Friedman 1930   16  0.7652  0.0023  0.0921  0.3021  0.4518  0.37
Garcia 2007   44  0.6990  0.0060  0.0562  0.0551  0.0675  0.05
Garcia 2007b   47  0.6874  0.0054  0.0650  0.0634  0.2452  0.12
Gierzod 1998   26  0.743  0.069  0.127  0.4620  0.409  0.43
Gornostaeva 1994   57  0.6331  0.0042  0.0640  0.1310  0.4039  0.23
Groot 1988   58  0.6258  0.0064  0.0747  0.0737  0.2449  0.13
Harasiewicz 1955   22  0.7562  0.0037  0.0541  0.1362  0.0566  0.08
Hatto 1993   12  0.7976  0.0019  0.0716  0.3422  0.3127  0.32
Hatto 1997   11  0.7968  0.0021  0.0818  0.3323  0.3125  0.32
Horowitz 1949   60  0.6241  0.0066  0.0558  0.0546  0.0968  0.07
Indjic 1988   10  0.8081  0.0020  0.0817  0.3422  0.3222  0.33
Kapell 1951   61  0.6242  0.0041  0.0539  0.1559  0.0463  0.08
Kissin 1993   14  0.788  0.047  0.116  0.4715  0.476  0.47
Kushner 1989   31  0.7447  0.0028  0.0424  0.2620  0.4023  0.32
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   15  0.7718  0.0135  0.0633  0.2120  0.2837  0.24
Malcuzynski 1961   84  0.4182  0.0076  0.0384  0.0364  0.0486  0.03
Magaloff 1978   56  0.6330  0.0057  0.0564  0.0515  0.3742  0.14
Magin 1975   28  0.7420  0.0117  0.0813  0.3514  0.4614  0.40
Michalowski 1933   74  0.5171  0.0071  0.0377  0.0359  0.0580  0.04
Milkina 1970   34  0.7228  0.0010  0.0922  0.3012  0.4916  0.38
Mohovich 1999   36  0.7135  0.0040  0.0535  0.1818  0.4631  0.29
Moravec 1969   78  0.4472  0.0086  0.0379  0.0370  0.0485  0.03
Morozova 2008   3  0.847  0.044  0.135  0.484  0.554  0.51
Neighaus 1950   46  0.6891  0.0048  0.0555  0.0535  0.1662  0.09
Niedzielski 1931   49  0.6756  0.0047  0.0466  0.0424  0.4145  0.13
Ohlsson 1999   52  0.6626  0.0046  0.0465  0.0440  0.1564  0.08
Osinska 1989   25  0.7560  0.0024  0.079  0.4218  0.448  0.43
Pachmann 1927   69  0.5773  0.0079  0.0470  0.0424  0.2854  0.11
Paderewski 1930   68  0.5785  0.0068  0.0473  0.0450  0.0479  0.04
Perlemuter 1992   29  0.7459  0.0025  0.0625  0.2516  0.3430  0.29
Pierdomenico 2008   77  0.4932  0.0074  0.0385  0.0349  0.0676  0.04
Poblocka 1999   62  0.6229  0.0059  0.0654  0.0652  0.0574  0.05
Rabcewiczowa 1932   55  0.6446  0.0052  0.0652  0.0624  0.2650  0.12
Rachmaninoff 1923   37  0.7169  0.0045  0.0445  0.0931  0.2044  0.13
Rangell 2001   88  0.3286  0.0075  0.0387  0.0361  0.0489  0.03
Richter 1976   72  0.5366  0.0078  0.0380  0.0361  0.0578  0.04
Rosen 1989   8  0.802  0.162  0.252  0.672  0.661  0.66
Rosenthal 1930   79  0.4283  0.0083  0.0288  0.0249  0.0588  0.03
Rosenthal 1931   80  0.4270  0.0082  0.0381  0.0338  0.1669  0.07
Rosenthal 1931b   82  0.4148  0.0085  0.0471  0.0462  0.0584  0.04
Rosenthal 1931c   86  0.3963  0.0081  0.0386  0.0336  0.1967  0.08
Rosenthal 1931d   81  0.4284  0.0084  0.0382  0.0342  0.1273  0.06
Rossi 2007   63  0.6153  0.0067  0.0472  0.0425  0.3053  0.11
Rubinstein 1939   24  0.7517  0.0132  0.0630  0.224  0.5420  0.34
Rubinstein 1952   70  0.579  0.0411  0.0942  0.1318  0.4538  0.24
Rubinstein 1966   27  0.7439  0.0029  0.0532  0.219  0.4924  0.32
Schilhawsky 1960   51  0.6649  0.0058  0.0557  0.0546  0.0971  0.07
Shebanova 2002   33  0.7325  0.008  0.1211  0.4120  0.3715  0.39
Smith 1975   35  0.7122  0.0130  0.0528  0.247  0.4521  0.33
Sokolov 2002   67  0.5836  0.0063  0.0556  0.0539  0.1559  0.09
Sztompka 1959   30  0.7464  0.0034  0.0726  0.2540  0.1640  0.20
Tomsic 1995   75  0.5087  0.0072  0.0376  0.0329  0.3558  0.10
Uninsky 1932   39  0.7038  0.0050  0.0746  0.0736  0.2547  0.13
Uninsky 1971   65  0.5924  0.0161  0.0653  0.0641  0.2255  0.11
Wasowski 1980   18  0.7688  0.0033  0.0727  0.2510  0.3828  0.31
Zak 1937   9  0.8033  0.0013  0.1310  0.4110  0.4310  0.42
Zak 1951   13  0.7943  0.0012  0.1112  0.4010  0.4311  0.41
Average   1  0.861  0.311  0.301  0.7213  0.423  0.55
Random 1   91  -0.3461  0.0091  0.0191  0.0189  0.0190  0.01
Random 2   89  -0.0550  0.0089  0.0289  0.0250  0.0487  0.03
Random 3   90  -0.2365  0.0090  0.0190  0.0175  0.0291  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).