Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.8210  0.025  0.143  0.559  0.464  0.50
Anderszewski 2003   16  0.7612  0.0115  0.0519  0.3115  0.3128  0.31
Ashkenazy 1981   22  0.759  0.0217  0.0718  0.3218  0.3325  0.32
Bacha 2000   53  0.6524  0.0126  0.0536  0.169  0.4135  0.26
Badura 1965   44  0.6845  0.0061  0.0650  0.0631  0.3542  0.14
Barbosa 1983   40  0.6928  0.0042  0.0637  0.154  0.5232  0.28
Biret 1990   39  0.6915  0.0152  0.0747  0.0726  0.2447  0.13
Blet 2003   31  0.7452  0.0037  0.0735  0.176  0.4633  0.28
Block 1995   58  0.6277  0.0038  0.0542  0.1212  0.3240  0.20
Blumental 1952   41  0.6913  0.0143  0.0543  0.1033  0.1356  0.11
Boshniakovich 1969   47  0.6716  0.0148  0.0560  0.0542  0.1761  0.09
Brailowsky 1960   42  0.6911  0.0230  0.0633  0.201  0.6518  0.36
Bunin 1987   82  0.4155  0.0087  0.0474  0.0460  0.0581  0.04
Bunin 1987b   84  0.4067  0.0086  0.0468  0.0459  0.0576  0.04
Chiu 1999   19  0.7614  0.0121  0.0822  0.303  0.4516  0.37
Cohen 1997   72  0.5178  0.0076  0.0382  0.0335  0.2164  0.08
Cortot 1951   65  0.5956  0.0069  0.0466  0.0459  0.0482  0.04
Csalog 1996   86  0.3957  0.0068  0.0467  0.0439  0.1269  0.07
Czerny 1949   52  0.6588  0.0055  0.0562  0.0547  0.0772  0.06
Czerny 1990   20  0.7579  0.0025  0.0528  0.2417  0.3531  0.29
Duchoud 2007   75  0.5034  0.0072  0.0377  0.0355  0.0580  0.04
Ezaki 2006   1  0.844  0.074  0.177  0.4210  0.516  0.46
Falvay 1989   70  0.5337  0.0079  0.0473  0.0442  0.2160  0.09
Farrell 1958   37  0.7174  0.0054  0.0559  0.0537  0.1957  0.10
Ferenczy 1958   49  0.6621  0.0150  0.0558  0.0516  0.3645  0.13
Fliere 1977   4  0.822  0.152  0.192  0.6510  0.462  0.55
Fou 1978   18  0.7644  0.0035  0.0530  0.2118  0.3434  0.27
Francois 1956   63  0.5980  0.0064  0.0648  0.0629  0.2451  0.12
Friedman 1923   5  0.807  0.0513  0.0814  0.3517  0.4812  0.41
Friedman 1923b   6  0.8041  0.0014  0.0913  0.3518  0.4711  0.41
Friedman 1930   15  0.7653  0.0022  0.0920  0.3020  0.4517  0.37
Garcia 2007   43  0.6989  0.0059  0.0561  0.0550  0.0674  0.05
Garcia 2007b   46  0.6873  0.0053  0.0649  0.0633  0.2452  0.12
Gierzod 1998   25  0.745  0.068  0.126  0.4619  0.408  0.43
Gornostaeva 1994   56  0.6332  0.0041  0.0739  0.139  0.4038  0.23
Groot 1988   57  0.6258  0.0063  0.0746  0.0736  0.2448  0.13
Harasiewicz 1955   21  0.7562  0.0036  0.0540  0.1361  0.0565  0.08
Hatto 1993   11  0.7975  0.0018  0.0715  0.3421  0.3126  0.32
Hatto 1997   10  0.7968  0.0020  0.0817  0.3322  0.3124  0.32
Horowitz 1949   59  0.6243  0.0065  0.0557  0.0545  0.0967  0.07
Indjic 1988   9  0.8076  0.0019  0.0816  0.3421  0.3221  0.33
Kapell 1951   60  0.6238  0.0040  0.0538  0.1558  0.0462  0.08
Kissin 1993   13  0.788  0.046  0.115  0.4714  0.475  0.47
Kushner 1989   30  0.7447  0.0027  0.0523  0.2619  0.4022  0.32
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   14  0.7717  0.0134  0.0632  0.2119  0.2836  0.24
Malcuzynski 1961   83  0.4182  0.0075  0.0383  0.0363  0.0485  0.03
Magaloff 1978   55  0.6330  0.0056  0.0563  0.0514  0.3741  0.14
Magin 1975   27  0.7418  0.0116  0.0812  0.3513  0.4613  0.40
Michalowski 1933   73  0.5169  0.0070  0.0476  0.0458  0.0579  0.04
Milkina 1970   33  0.7225  0.019  0.0921  0.3011  0.4915  0.38
Mohovich 1999   35  0.7135  0.0039  0.0534  0.1817  0.4630  0.29
Moravec 1969   77  0.4470  0.0085  0.0378  0.0369  0.0484  0.03
Morozova 2008   2  0.843  0.093  0.134  0.483  0.553  0.51
Neighaus 1950   45  0.6890  0.0047  0.0654  0.0634  0.1658  0.10
Niedzielski 1931   48  0.6759  0.0046  0.0465  0.0423  0.4144  0.13
Ohlsson 1999   51  0.6627  0.0045  0.0464  0.0439  0.1563  0.08
Osinska 1989   24  0.7549  0.0023  0.078  0.4217  0.447  0.43
Pachmann 1927   68  0.5772  0.0078  0.0469  0.0423  0.2854  0.11
Paderewski 1930   67  0.5784  0.0067  0.0472  0.0449  0.0478  0.04
Perlemuter 1992   28  0.7460  0.0024  0.0624  0.2515  0.3429  0.29
Pierdomenico 2008   76  0.4931  0.0073  0.0384  0.0348  0.0675  0.04
Poblocka 1999   61  0.6229  0.0058  0.0653  0.0651  0.0671  0.06
Rabcewiczowa 1932   54  0.6446  0.0051  0.0651  0.0623  0.2649  0.12
Rachmaninoff 1923   36  0.7123  0.0144  0.0444  0.0930  0.2043  0.13
Rangell 2001   87  0.3285  0.0074  0.0386  0.0360  0.0488  0.03
Richter 1976   71  0.5366  0.0077  0.0379  0.0360  0.0577  0.04
Rosen 1989   7  0.801  0.251  0.251  0.671  0.661  0.66
Rosenthal 1930   78  0.4283  0.0082  0.0287  0.0248  0.0587  0.03
Rosenthal 1931   79  0.4271  0.0081  0.0380  0.0337  0.1668  0.07
Rosenthal 1931b   81  0.4150  0.0084  0.0470  0.0461  0.0583  0.04
Rosenthal 1931c   85  0.3963  0.0080  0.0385  0.0335  0.1966  0.08
Rosenthal 1931d   80  0.4281  0.0083  0.0381  0.0341  0.1273  0.06
Rossi 2007   62  0.6154  0.0066  0.0471  0.0424  0.3053  0.11
Rubinstein 1939   23  0.7519  0.0131  0.0629  0.224  0.5419  0.34
Rubinstein 1952   69  0.576  0.0510  0.0941  0.1317  0.4537  0.24
Rubinstein 1966   26  0.7442  0.0028  0.0531  0.218  0.4923  0.32
Schilhawsky 1960   50  0.6648  0.0057  0.0556  0.0545  0.0970  0.07
Shebanova 2002   32  0.7320  0.017  0.1210  0.4119  0.3714  0.39
Smith 1975   34  0.7122  0.0129  0.0527  0.246  0.4520  0.33
Sokolov 2002   66  0.5836  0.0062  0.0555  0.0538  0.1559  0.09
Sztompka 1959   29  0.7464  0.0033  0.0725  0.2539  0.1639  0.20
Tomsic 1995   74  0.5086  0.0071  0.0475  0.0428  0.3550  0.12
Uninsky 1932   38  0.7039  0.0049  0.0745  0.0735  0.2546  0.13
Uninsky 1971   64  0.5926  0.0160  0.0652  0.0640  0.2255  0.11
Wasowski 1980   17  0.7687  0.0032  0.0726  0.259  0.3827  0.31
Zak 1937   8  0.8033  0.0012  0.149  0.419  0.439  0.42
Zak 1951   12  0.7940  0.0011  0.1111  0.409  0.4310  0.41
Random 1   90  -0.3461  0.0090  0.0190  0.0188  0.0189  0.01
Random 2   88  -0.0551  0.0088  0.0288  0.0250  0.0486  0.03
Random 3   89  -0.2365  0.0089  0.0189  0.0176  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).