Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.3936  0.0043  0.0644  0.1320  0.4836  0.25
Anderszewski 2003   48  0.3783  0.0047  0.0554  0.0540  0.2556  0.11
Ashkenazy 1981   14  0.466  0.0119  0.1122  0.4815  0.6115  0.54
Bacha 2000   53  0.3648  0.0035  0.0739  0.2215  0.5331  0.34
Badura 1965   20  0.4321  0.0015  0.0812  0.542  0.717  0.62
Barbosa 1983   9  0.4749  0.0024  0.1018  0.5021  0.4223  0.46
Biret 1990   72  0.3163  0.0071  0.0378  0.0361  0.0488  0.03
Blet 2003   56  0.3553  0.0072  0.0466  0.0450  0.0675  0.05
Block 1995   63  0.3385  0.0064  0.0469  0.0464  0.0483  0.04
Blumental 1952   57  0.3533  0.0065  0.0472  0.0442  0.1469  0.07
Boshniakovich 1969   23  0.4254  0.0020  0.1115  0.5124  0.4224  0.46
Brailowsky 1960   69  0.3174  0.0070  0.0379  0.0337  0.2163  0.08
Bunin 1987   37  0.3920  0.0027  0.0831  0.368  0.5626  0.45
Bunin 1987b   35  0.4015  0.0021  0.0829  0.408  0.5618  0.47
Chiu 1999   4  0.507  0.016  0.144  0.633  0.694  0.66
Cohen 1997   80  0.2780  0.0084  0.0287  0.0261  0.0487  0.03
Cortot 1951   82  0.2764  0.0082  0.0384  0.0353  0.0684  0.04
Csalog 1996   52  0.3681  0.0057  0.0557  0.0533  0.1759  0.09
Czerny 1949   43  0.3872  0.0049  0.0553  0.0526  0.5343  0.16
Czerny 1990   8  0.4723  0.004  0.176  0.6216  0.685  0.65
Duchoud 2007   38  0.3931  0.0030  0.0726  0.4210  0.5917  0.50
Ezaki 2006   18  0.4432  0.0025  0.1017  0.5016  0.5716  0.53
Falvay 1989   29  0.4075  0.0033  0.1136  0.2760  0.0551  0.12
Farrell 1958   31  0.408  0.0146  0.0555  0.0527  0.3247  0.13
Ferenczy 1958   87  0.2167  0.0088  0.0381  0.0362  0.0582  0.04
Fliere 1977   13  0.4634  0.0010  0.109  0.5531  0.3627  0.44
Fou 1978   5  0.494  0.015  0.185  0.638  0.656  0.64
Francois 1956   85  0.2565  0.0081  0.0386  0.0374  0.0389  0.03
Friedman 1923   70  0.3166  0.0052  0.0551  0.0538  0.1860  0.09
Friedman 1923b   66  0.3318  0.0051  0.0562  0.0536  0.3248  0.13
Friedman 1930   65  0.3347  0.0063  0.0468  0.0439  0.1368  0.07
Garcia 2007   74  0.3010  0.0141  0.0642  0.1722  0.3935  0.26
Garcia 2007b   61  0.3368  0.0044  0.0743  0.1423  0.4537  0.25
Gierzod 1998   25  0.4222  0.0026  0.0925  0.4321  0.4329  0.43
Gornostaeva 1994   45  0.3727  0.0061  0.0558  0.0550  0.0773  0.06
Groot 1988   27  0.4126  0.0017  0.0924  0.4715  0.4720  0.47
Harasiewicz 1955   19  0.4438  0.0037  0.0832  0.3458  0.0549  0.13
Hatto 1993   34  0.4040  0.0034  0.0734  0.3042  0.1640  0.22
Hatto 1997   51  0.3676  0.0048  0.0556  0.0578  0.0481  0.04
Horowitz 1949   77  0.2928  0.0078  0.0648  0.0641  0.2055  0.11
Indjic 1988   40  0.3873  0.0036  0.0835  0.2839  0.2139  0.24
Kapell 1951   26  0.4216  0.0016  0.1014  0.5318  0.4021  0.46
Kissin 1993   21  0.4358  0.0029  0.0930  0.3923  0.5422  0.46
Kushner 1989   2  0.5311  0.012  0.372  0.708  0.663  0.68
Luisada 1991   28  0.4161  0.0039  0.0840  0.1825  0.3138  0.24
Lushtak 2004   41  0.3817  0.0062  0.0464  0.0440  0.1072  0.06
Malcuzynski 1961   11  0.4714  0.017  0.157  0.5916  0.5212  0.55
Magaloff 1978   22  0.4370  0.0028  0.0927  0.4218  0.4428  0.43
Magin 1975   46  0.3756  0.0055  0.0559  0.0541  0.1958  0.10
Michalowski 1933   78  0.2962  0.0059  0.0552  0.0513  0.4744  0.15
Milkina 1970   15  0.459  0.0114  0.0810  0.5516  0.5910  0.57
Mohovich 1999   62  0.3386  0.0058  0.0647  0.0666  0.0476  0.05
Moravec 1969   50  0.3655  0.0050  0.0561  0.0559  0.0574  0.05
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   42  0.3869  0.0053  0.0650  0.0632  0.2552  0.12
Niedzielski 1931   83  0.2537  0.0085  0.0385  0.0382  0.0385  0.03
Ohlsson 1999   24  0.4224  0.0022  0.0821  0.4916  0.4125  0.45
Osinska 1989   44  0.3730  0.0031  0.0828  0.4034  0.2932  0.34
Pachmann 1927   71  0.3144  0.0077  0.0463  0.0444  0.1266  0.07
Paderewski 1930   86  0.2490  0.0086  0.0473  0.0475  0.0386  0.03
Perlemuter 1992   58  0.3450  0.0069  0.0377  0.0336  0.2062  0.08
Pierdomenico 2008   73  0.3035  0.0066  0.0471  0.0429  0.3254  0.11
Poblocka 1999   17  0.4542  0.0018  0.1120  0.4911  0.6014  0.54
Rabcewiczowa 1932   60  0.3477  0.0060  0.0649  0.0652  0.0671  0.06
Rachmaninoff 1923   54  0.3557  0.0045  0.0545  0.1033  0.3042  0.17
Rangell 2001   39  0.3825  0.0038  0.0837  0.2615  0.5430  0.37
Richter 1976   3  0.5129  0.003  0.213  0.658  0.751  0.70
Rosen 1989   30  0.4041  0.0032  0.1033  0.3225  0.3034  0.31
Rosenthal 1930   68  0.3260  0.0076  0.0465  0.0435  0.3157  0.11
Rosenthal 1931   64  0.3382  0.0073  0.0474  0.0423  0.5046  0.14
Rosenthal 1931b   81  0.2739  0.0080  0.0560  0.0535  0.3053  0.12
Rosenthal 1931c   67  0.3219  0.0067  0.0476  0.0438  0.1865  0.08
Rosenthal 1931d   84  0.2546  0.0079  0.0380  0.0339  0.1570  0.07
Rossi 2007   88  0.1788  0.0087  0.0383  0.0359  0.0578  0.04
Rubinstein 1939   10  0.4712  0.0111  0.098  0.569  0.589  0.57
Rubinstein 1952   49  0.365  0.0140  0.0938  0.2545  0.1641  0.20
Rubinstein 1966   12  0.4645  0.0023  0.0823  0.4830  0.2333  0.33
Schilhawsky 1960   59  0.3452  0.0068  0.0382  0.0337  0.1567  0.07
Shebanova 2002   7  0.482  0.038  0.1119  0.5025  0.4519  0.47
Smith 1975   79  0.2889  0.0083  0.0288  0.0277  0.0390  0.02
Sokolov 2002   55  0.3578  0.0056  0.0475  0.0431  0.3750  0.12
Sztompka 1959   6  0.4813  0.019  0.1313  0.5414  0.6011  0.57
Tomsic 1995   32  0.403  0.0312  0.0716  0.515  0.5913  0.55
Uninsky 1932   16  0.4559  0.0013  0.0711  0.5511  0.658  0.60
Uninsky 1971   33  0.4071  0.0042  0.0641  0.1745  0.1345  0.15
Wasowski 1980   47  0.3743  0.0054  0.0646  0.0641  0.1261  0.08
Zak 1937   76  0.2984  0.0074  0.0470  0.0463  0.0579  0.04
Zak 1951   75  0.2991  0.0075  0.0467  0.0474  0.0480  0.04
Average   1  0.641  0.781  0.771  0.8813  0.562  0.70
Random 1   90  -0.0479  0.0091  0.0191  0.0160  0.0391  0.02
Random 2   89  0.0651  0.0089  0.0289  0.0225  0.3064  0.08
Random 3   91  -0.0487  0.0090  0.0190  0.0124  0.2777  0.05

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).